Publications

Journal Publications

  1. Feng Zhu, Xiaodong Jia, Wenzhe Li, Min Xie, Lishuai Li, Jay Lee, Cross-chamber Data Transferability Evaluation for Fault Detection and Classification in Semiconductor Manufacturing, IEEE Transactions on Semiconductor Manufacturing, 2022
  2. Jay Lee, Pradeep Kundu, Integrated Cyber-Physical System and Industrial Metaverse for Remote Manufacturing,  Manufacturing Letters, 2022
  3. Jay Lee, Prayag Gore, Xiaodong Jia, Shahin Siahpour, Pradeep Kundu, Keyi Sun, Stream-of-Quality Methodology for Industrial Internet-Based Manufacturing System Manufacturing Letters, 2022
  4. Wenzhe Li, Xiaodong Jia, Yuan-Ming Hsu, Chen-Hong Liao, Yunfei Wang, Mong-Tung Lin, Jay Lee, A Novel Methodology for Lens Matching in Compact Lens Module Assembly, IEEE Transactions on Automation Science and Engineering, 2022
  5. Shahin Siahpour, Xiang Li, Jay Lee, A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset, IEEE Transactions on Instrumentation and Measurement, 2022
  6. Yuan-Ming Hsu, Xiaodong Jia, Wenzhe Li, Panayotis Manganaris, Jay Lee, Sequential Optimization of the Injection Molding Gate Locations Using Parallel Efficient Global Optimization, The International Journal of Advanced Manufacturing Technology, 2022
  7. Jay Lee, Shahin Siahpour, Xiaodong Jia, Patrick Brown, Introduction to Resilient Manufacturing Systems, Manufacturing Letters 2022, pp. 24-27
  8. Vibhor Pandhare, Marcella Miller, Greg Vogl, Jay Lee, Ball Screw Health Monitoring with Inertial Sensors, IEEE Transactions on Industrial Informatics, 2022
  9. Ainapure, Abhijeet, Shahin Siahpour, Xiang Li, Faray Majid, Jay Lee, Intelligent Robust Cross-Domain Fault Diagnostic Method for Rotating Machines Using Noisy Condition Labels, Mathematics, 2022
  10. Cai, Haoshu, Jianshe Feng, Qibo Yang, Fei Li, Xiang Li, Jay Lee, Reference-based Virtual Metrology Method with Uncertainty Evaluation for Material Removal Rate Prediction based on Gaussian Process Regression, The International Journal of Advanced Manufacturing Technology, 2021
  11. Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Qibo Yang, Wenzhe Li, Fei Li, Jay Lee, A Unified Bayesian Filtering Framework for Multi-horizon Wind Speed Prediction with Improved Accuracy, Renewable Energy, 2021
  12. Jianshe Feng, Xiaodong Jia, Haoshu Cai, Feng Zhu, Xiang Li, Jay Lee, Cross Trajectory Gaussian Process Regression Model for Battery Health Prediction, Journal of Modern Power Systems and Clean Energy, 2020
  13. Feng Zhu, Xiaodong Jia, Marcella Miller, Xiang Li, Fei Li, Yinglu Wang, Jay Lee. Methodology for Important Sensor Screening for Fault Detection and Classification in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing. 10 November 2020. Pages 65-73.
  14. Vibhor Pandhare, Xiang Li, Marcella Miller, Xiaodong Jia, Jay Lee. Intelligent Diagnostics for Ball Screw Fault through Indirect Sensing using Deep Domain Adaptation. IEEE Transactions on Instrumentation and Measurement. Volume 70. 9 December 2020.
  15. Cai, Haoshu, Jianshe Feng, Feng Zhu, Qibo Yang, Xiang Li, Jay Lee. Adaptive virtual metrology method based on Just-in-time reference and particle filter for semiconductor manufacturing. Measurement. Volume 168. 15 January 2021.
  16. Qibo Yang, Xiang Li, Haoshu Cai, Yuan-Ming Hsu, Jay Lee, Chun Hung Yang, Zong Li Li, Ming Yi Lin. Fault prognosis of industrial robots in dynamic working regimes: find degradation in variations. Measurement. 2020.
  17. Elisa Negri, Vibhor Pandhare, LauraCattaneo, Jaskaran Singh, Marco Macchi, Jay Lee. Field-synchronized Digital Twinframework for production scheduling with uncertainty. Journal of Intelligent Manufacturing. October. 2020.
  18. Wenzhe Li, Xiaodong Jia, Xiang Li, Yinglu Wang, Jay Lee. A Markov model for short term wind speed prediction by integrating the wind acceleration information. Renewable energy. 2020. Volume 164. February 2021. Pages 242-253.
  19. Cai, Haoshu, Jianshe Feng, Feng Zhu, Qibo Yang, Xiang Li, Jay Lee. Adaptive virtual metrology method based on Just-in-time reference and particle filter for semiconductor manufacturing. Measurement. Volume 168. 15 January 2021.
  20. Shahin Siahpour, Xiang Li, Jay Lee. Deep learning-based cross-sensor domain adaptation for fault diagnosis of electro-mechanical actuators. International Journal of Dynamics and Control. 2020.
  21. Cai, Haoshu, Jianshe Feng, Wenzhe Li, Yuan-Ming Hsu, Jay Lee. Similarity-based Particle Filter for Remaining Useful Life prediction with enhanced performance. Applied Soft Computing. 2020, 94.
  22. Jay Lee, Moslem Azamfar, Jaskaran Singh, Shahin Siahpour. Integration of digital twin and deep learning in cyber-physical systems: towards smart manufacturing. IET Collaborative Intelligent Manufacturing. 2020, 2, 1, 24-36.
  23. Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Wenzhe Li, Laura Pahren, Jay Lee. A Similarity based Methodology for Machine Prognostics by Using Kernel Two Sample Test. ISA Transactions. 2020.
  24. Xiang Li, Xiaodong Jia, Qibo Yang, Jay Lee. Quality Analysis in Metal Additive Manufacturing with Deep Learning. Journal of Intelligent Manufacturing. 2020.
  25. Li, Pin, Xiaodong Jia, Jianshe Feng, Feng Zhu, Marcella Miller, Liang-Yu Chen, and Jay Lee. A novel scalable method for machine degradation assessment using deep convolutional neural network. Measurement. 2020, 151, 107-106.
  26. Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Wenzhe Li, Yuan-Ming Hsu, and Jay Lee. Gaussian Process Regression for numerical wind speed prediction enhancement. Renewable Energy. 2020, 146, 2112-2123.
  27. Haoshu (Sherry) Cai, Jianshe Feng, James Moyne, Jimmy Iskandar, Michael Armacost, Jay Lee. A Pattern-based Trace Data Generator for Fault Detection of Wafer Fabrication Processes.  Advanced Process Control Conference 2019.
  28. Feng, Jianshe, Xiaodong Jia, Feng Zhu, Qibo Yang, Yubin Pan, and Jay Lee. An intelligent system for offshore wind farm maintenance scheduling optimization considering turbine production loss.  Journal of Intelligent & Fuzzy Systems. 2019, 37 (5),  6911.
  29. Feng, Jianshe, Xiaodong Jia, Feng Zhu, James Moyne, Jimmy Iskandar, and Jay Lee. An Online Virtual Metrology Model With Sample Selection for the Tracking of Dynamic Manufacturing Processes With Slow Drift.  IEEE Transactions on Semiconductor Manufacturing. 2019, 32(2) (4)
  30. Pan, Y., Hong, R., Chen, J., Singh, J. and Jia, X., 2019. Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion. Mechanism and Machine Theory, 137, pp.509-526.
  31. Lee, J., Azamfar, M. and Singh, J., 2019. A Blockchain-Enabled Cyber-Physical System Architecture for Industry 4.0 Manufacturing Systems. Manufacturing Letters, 20, pp.34-39.Lee, J., Singh, J. and Azamfar, M., Industrial AI: is it manufacturing’s guiding light? Manufacturing Leadership Council 2019:26–36.
  32. Li, F., Ren, G. and Lee, J., 2019. Multi-step wind speed prediction based on turbulence intensity and hybrid deep neural networks. Energy Conversion and Management, 186, pp.306-322.
  33. Cai, H., Jia, X., Feng, J., Yang, Q., Hsu, Y.M., Chen, Y. and Lee, J., 2019. A combined filtering strategy for short term and long term wind speed prediction with improved accuracy. Renewable energy, 136, pp.1082-1090.
  34. Li, P., Jia, X., Sumiya, M., Kamaji, Y., Ishiguro, M., Pahren, L. and Lee, J., 2019. A Novel Method for Deposit Accumulation Assessment in Dry Etching Chamber. IEEE Transactions on Semiconductor Manufacturing, 32(2), pp.183-189.
  35. Li, P., Jia, X., Feng, J., Davari, H., Qiao, G., Hwang, Y. and Lee, J., 2018. Prognosability study of ball screw degradation using systematic methodology. Mechanical Systems and Signal Processing, 109, pp.45-57.
  36. Lee, J., Singh, J. and Azamfar, M., Industrial AI: is it manufacturing’s guiding light? Manufacturing Leadership Council 2019:26–36.
  37. Lee J, Davari H, Singh J, Pandhare V.   Industrial Artificial Intelligence for Industry 4.0-based Manufacturing Systems. Manufacturing Letters, 2018, Sep 10, 20-23.
  38. Jia X, Zhao M, Di Y, Li P, Lee J.   Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery. Mechanical Systems and Signal Processing. 2018 Mar 1;102:198-213.
  39. Jia X, Jin C, Buzza M, Di Y, Siegel D, Lee J.   A deviation based assessment methodology for multiple machine health patterns classification and fault detection. Mechanical Systems and Signal Processing. 2018 Jan 15;99:244-61.
  40. Zhao M, Jia X, Lin J, Lei Y, Lee J.   Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox. Mechanical Systems and Signal Processing. 2018 Jan 1;98:16-31.
  41. Jia X, Zhao M, Di Y, Jin C, Lee J.   Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement. Journal of Sound and Vibration. 2017 Jan 6;386:433-48.
  42. Jia X, Zhao M, Buzza M, Di Y, Lee J.   A geometrical investigation on the generalized l p/l q norm for blind deconvolution. Signal Processing. 2017 May 31;134:63-9.
  43. Zhao M, Jia X.   A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery. Mechanical Systems and Signal Processing. 2017 Sep 15;94:129-47.
  44. Jia X, Jin C, Buzza M, Wang W, Lee J.  Wind turbine performance degradation assessment based on a novel similarity metric for machine performance curves. Renewable Energy. 2016 Dec 31;99:1191-201.
  45. Jin X, Weiss BA, Siegel D, Lee J.   Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing. International journal of prognostics and health management. 2016;7
  46. Jin X, Siegel D, Weiss BA, Gamel E, Wang W, Lee J, Ni J.  The present status and future growth of maintenance in US manufacturing: results from a pilot survey. Manufacturing review. 2016;3.
  47. Lee J, Bagheri B, Jin C.  Introduction to cyber manufacturing. Manufacturing Letters. 2016 Apr 30;8:11-5.
  48. Lee, J., Bagheri, B., Kao, H.A.  A Cyber Physical Systems Architecture for Industry 4.0-based Manufacturing Systems. Manufacturing Letters, 18-23, 2015
  49. Yang, S.H., Lee, J., A Unified Framework and Platform for Designing of Cloud-based Machine Health Monitoring and Manufacturing Systems, Submitted to ASME Journal of Manufacturing Science and Engineering.
  50. Siegel, D., Ardakani, H.D., Lee, J., Chang, Y.S., and Lee, J., A Review of Predictive Monitoring Approaches and Algorithms for Material Handling Systems, Int. Journal of Advanced Logistics, 2014.
  51. Jin, C., Ompusunggu, AP, Liu, ZC,  Ardakani, HD, Petre, F, Lee, J., A Vibration-Based Approach for Stator Winding Fault Diagnosis of Induction Motors: Application of Envelope Analysis, Journal of PHM 2014. 
  52. Kao, H.A, Jin, Siegel, D., and Lee, J., Cyber Physical Interface for Automation Systems - Methodology and Example, Journal of Machines, 2014.
  53. Rezvanizaniani, S.M., Lee, J., Review and Recent Advances in Battery Health Monitoring and Prognostics Technologies for Electric Vehicle (EV) Safety and Mobility, Journal of Power Sources, 2014.
  54.  Liu, C.L., Lee, J., Gong, J., Huang, Y.X., Prognostics and Maintenance for Mechanical Systems in Harsh Environment, Advances in Mechanical Engineering Volume 2013, Article ID 121340.
  55. Zhang, L., Cao, Q.X., Lee, J., A novel ant-based clustering algorithm using Renyi entropy, Journal of Advanced Soft Computing, 2643–2657, 2013.
  56. Lee J, Lapira E, Bagheri B and Kao HA, Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters 1 (1):38-41, 2013.
  57. Song, B.L., Lee, J., Framework of Designing an Adaptive and Multi-Regime Prognostics and Health Management for Wind Turbine Reliability and Efficiency Improvement, IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 4, No. 2, 2013
  58. Lee, J., Wu, F., Zhao, W.Y., Ghaffari, M., Wang, T.Y., Siegle, D., Prognostics and Health Management Design for Rotary Machinery Components, International Journal of Mechanical Systems and Signal Processing, 2013.
  59. Zhang, L., Cao, Q.X., Lee, J., Performance Assessment for a Fleet of Machines Using a Combined Method of Ant-Based Clustering and CMAC, Advances in Mechanical Engineering, vol. 2013, Article ID 603071, 12 pages, 2013. doi:10.1155/2013/603071.
  60. Zhao, W., Siegel, D., Lee, J., Su, L., "An Integrated Framework of Drivetrain Degradation Assessment and Fault Localization for Offshore Wind Turbines", International Journal of the PHM Society: Volume 4 (Special Issue Wind Turbine PHM) 012, pages 12, 2013.
  61. Siegel, D., Zhao, W., AbuAli, M., and Lee, J., “A comparative study on vibration – based condition monitoring algorithms for wind turbine drive trains,” Wind Energy Journal (Special Issue), 2013, 
  62. Xia, Xi, Zhou, Lee, Condition-based maintenance for intelligent monitored series system with independent machine failure modes, International Journal of Production Research, May 2013.
  63. Lee, J, Lapira, Predictive Factory, Feb 2013 Issue, Frost Sullivan.
  64. Huang, Y., Zha, X., Lee, J. and Liu, C., "Discriminant Diffusion Maps Analysis: A Robust Manifold Learner for Dimensionality Reduction and its Applications in Machine Condition Monitoring and Fault Diagnosis," Mechanical Systems and Signal Processing, 34 (1-2), pp. 277-297, 2013.
  65. Galar, D., U Kumar, U.,  Lee, J., and Zhao, W, Remaining Useful Life Estimation using Time Trajectory Tracking and Support Vector Machines, Journal of Physics, Conf. Ser. 364 012063 
  66. Chen, Y. and Lee, Jay   “Data Quality for Manufacturing Prognostics using Spectral Analysis based Randomness Tests”, Computers in Industry (accepted).  
  67. Xia, TB, Xi, LF, Zhou, XJ, Lee, J., Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology, European Journal of Operations Research, Volume 221, Issue 1, Pages 231–240, 16 August 2012.
  68. Siegel, D., Ly, C. and Lee, J., "Methodology and Framework for Predicting Rolling Element Helicopter Bearing Failure,” Special Issue on PHM in the IEEE Transactions on Reliability, Vol. 61, No. 4, December 2012.
  69. Yixiang Huang, Xuan F Zha, Jay Lee, Chengliang Liu, "Discriminant Diffusion Maps Analysis: A Robust Manifold Learner for Dimensionality Reduction and its Applications in Machine Condition Monitoring and Fault Diagnosis,” Mechanical Systems and Signal Processing (accepted to appear in 2012).
  70. Siegel, D., Zhao, W., Lapira, E., Abuali, M., Lee, J., “NREL Wind Turbine Gearbox Round Robin Report – Report on Algorithms, Method, and Results for Wind Turbine Condition Monitoring, 2012.
  71. Siegel, D., Al-Atat, H., Shauche, V., Liao, L., Snyder, J., Lee, J., Novel method for Rolling Element Bearing Health Assessment – A Tachometer-Less Synchronously Averaged Envelope Feature Extraction Technique, Journal of PHM, vol. 29, pp. 362-276, 2012. 
  72. Siegel, D. Lee, J., Lim, T., Evaluation of Health Assessment Algorithms for Electro-Mechanical Components, Mechanical Systems and Signal Processing, vol. 29, pp. 362-276, 2012. 
  73. Lapira E, Brisset D, Davari H, Siegel D and Lee J, Wind turbine performance assessment using multi-regime modeling approach. International Journal of Renewable Energy, vol. 45, pp. 86-95, 2012
  74. Yang, L. and Lee, J., "Bayesian Belief Network-based approach for diagnostics and prognostics of semiconductor manufacturing systems," Robotics and Computer-Integrated Manufacturing, 28 (1), pp. 66-74, 2012
  75. Wang, S.J., Yu, J.B., Lapira, E., Lee, J., A Modified Support Vector Data Description based Novelty Detection Approach for Machinery Components, International Journal on Applied Soft Computing, Nov. 2012. 
  76. Lee, J., and Lapira, E., Prognostics and Health Management for Semiconductor Manufacturing Predictability, Nanochip Magazine, Vol. 6, Issue 11, Nov. 2011.
  77. Zhang, J. and Lee, J., "A review on prognostics and health monitoring of Li-on battery," Journal of Power Sources, 196 (15), pp. 6007-6014, 2011.
  78. Xia, T., Xi, L, Lee, J. and Zhou, X., "Optimal CBPM Policy Considering Maintenance Effects and Environmental Condition," International Journal of Advanced Manufacturing Technology, 56 (9-12), pp. 1181-1193, 2011.
  79. Wu, F. and Lee, J., "Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals," International Journal of the PHM Society: Vol 2(1) 004, pages: 9, 2011 
  80. Siegel, D. and Lee, J., "An Auto-Associative Residual Processing and K-means Clustering Approach for Anemometer Health Assessment," International Journal of Prognostics and Health Management Society, Vol 2 (2) 014, pages: 12, 2011
  81. Lee, J. and AbuAli, M., "Innovative Product Advanced Service Systems (i-PASS): Methodology, tools and applications for dominant service design," International Journal of Advanced Manufacturing Technology, 52 (9-12), pp. 1161-1173, 2011 
  82. Lapira E, Brisset D, Davari H, Siegel D and Lee J (xxxx) Wind turbine performance assessment using multi-regime modeling approach. Submitted to the International Journal of Renewable Energy. Under review
  83. Siegel, D., Al-Atat, H., Shauche, V., Liao, L., Snyder, J., Lee, J., Novel method for Rolling Element Bearing Health Assessment – A Tachometer-Less Synchronously Averaged Envelope Feature Extraction Technique (accepted to be published in 2012). 
  84. Al-Atat, H., Siegel, D., Lee, J., A Systematic Methodology for Gearbox Health Assessment and Fault Diagnosis, International Journal of Prognostics and Health Management, 2011.
  85. L. Yang, D. Djurdjanovic, R. Chong and J. Lee. Methodology Survey of Condition-Based Maintenance in Semiconductor Manufacturing, IEEE Transaction on Semiconductor Manufacturing, 2011.
  86. Huang, Yixiang,  Zha, X, Lee, J., Liu, Chengliang, Discriminant Diffusion Maps Analysis: a Robust Manifold Learner for Dimensionality Reduction and Its Applications in Machine Condition Monitoring and Fault Diagnosis, Journal of Mechanical System and Signal Processing,” 2011. 
  87. Zhang, J.L., Lee, J., A Review on Prognostics and Health Monitoring of Li-ion Battery, Journal of Power Sources, 2011. 
  88. Lee,, J., Ghaffari, M.,  and Elmeligy, S.,  Self-maintenance and Engineering Immune Systems: Towards Smarter Machines and Manufacturing Systems, Annual Reviews in Control, Volume 35, Issue 1, April 2011.
  89. Wu, F., Wang, T., and Lee, J., "An Online Adaptive Condition-based Maintenance Method for Mechanical Systems," Mechanical Systems and Signal Processing, vol. 24, issue 8, pp. 2985-2995, 2010.
  90. Raza, J., Liyanage, J. P., Atat, H., Lee, J., A Comparative Study of maintenance Data Classification based on Neural Networks, Logistics Regression, and Support Vector Machines, Journal of Quality in Maintenance Engineering, Vol. 16, No. 3, 2010.
  91. Ahad, A., Seifoddini, H., Lee, J., Efficient Materials Allocation in High-Mix and Low-Volume Manufacturing Systems, Journal of Advanced Manufacturing Systems, Vol. 9. No. 2, 2010.
  92. Lei, Y., Djurdjanovic, D., Chong, R. Lee, J., Survey of Condition-Based Maintenance in Semiconductor Manufacturing, IEEE Journal on Semiconductor Manufacturing, to be published in 2010.
  93. Wu, Fangji, Lee, J., Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals, Int. Journal of Prognostics and Health Management, 2010.
  94. Lee, J, and Abuali, M., Innovative Product Advanced Service Systems (I-PASS): methodology, tools, and applications for dominant service design, Int. Journal of Advanced Manufacturing Technology, Volume 52, Issue 9 (2011), Page 1161.
  95. Liao, L., Wang, H., Lee, J., A Toolbox Approach for Machinery Health Monitoring and Prognostics, International Journal of Advanced Manufacturing Technology, 2008
  96. Li, B.S., Cao, Q. X., Zhang, L., Lee, J., 3D Registration Method based on Constraint Hough Transform under Multiple Planes Scene, Journal of System Simulation, accepted for publication
  97. Zhang, L., Cao, Q.X., Li, B.S., Lee, J., Outlier Mining based Abnormal Machine Detection in Intelligent Maintenance, Journal of Shanghai Jiaotong University (Science), accepted for publication,
  98. Wang, H., Ceglarek, D., and Lee, J. "Stream-of-variation modeling and analysis for multi-station compliant part assemblies at early product and process design stages." accepted by Journal of Assembly Automation.
  99. Wen, G, Qiu, H., Qu, L., and Lee, J., Predictability Assessment of Machine Performance Using an Integrated Signal Redundancy and Bootstrap, accepted for IEEE/ASME Transactions on Mechatronics. Paper No.:  MT03-087.
  100. Wu, Fanji, Lee, J., Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals, Int. Journal of Prognostics and Health Management, accepted to be published in 2010.
  101. Lee, J., Yan, C., Al-Atat, H., AbuAli, M., and Lapira, E. (2009) ‘A Systematic Approach for Predictive Maintenance Service Design: Methodology and Applications’, accepted for Int. J. Internet-based Manufacturing Services (IJIMS).
  102. Lee, J., AbuAli, M., Deng, C., Tsan, C. (2009) ‘Product Lifecycle Management Using Embedded Infotronics: Methodology, Tools, and Case Studies’, accepted for Int. J. Knowledge Engineering And Data Mining.
  103. Liu, T.I., Kumagai, A., Wang, Y.C., Song, S.D., Fu, Z., Lee, J., On-line Monitoring of Boring Tools for Control of Boring Operations, International Journal of Robotics and Computer-integrated Manufacturing, 2010. 
  104. Li, B.S., Cao, Q.X., Zhang, L. Lee, J., A 3D Modeling Measurement and Collision Detection System for Pneumatic Caisson, Journal of Shanghai Jiao tong University, 2008 42（10） (EI 20084811749970).
  105. Liao, L., Lee J., A Novel Method for Machine Performance Degradation Assessment based on Fixed Cycle Features Test, Journal of Sound and Vibration, V 326(3-5): p. 894-908, 2009.
  106. Liao, L., Lee J., Designing a Reconfigurable e-Prognostics Platform for Machine Tools, Expert Systems with Applications, V 37(1), p. 240-252, 2010.
  107. Liao, L., Lee J., A Novel Method for Machine Performance Degradation Assessment based on Fixed Cycle Features Test, Journal of Sound and Vibration. 326 (2009) 894–908
  108. Liao, L., Wang, H., and Lee, J., “Reconfigurable Watchdog Agent® for machine health prognostics,” International Journal of COMADEM, Vol. 11, No.3, pp. 2-15, 2008.
  109. Wang, S.J, Xi, L.F., Mathews, A., Lee, J., Ma, L, “Empirical Analysis of Support Vector Machine Ensemble Classifiers,” Int. Journal of Expert Systems With Applications, 2008.
  110. Yan, Jihong, Isobe N., and Lee, J., “Fuzzy Logic Combined Logistic Regression Methodology for Gas Turbine First Stage Nozzle Life Prediction”, Applied Mechanics and Materials, 2008, 10-12: 583-587.
  111. Lee, J., Dominant Design for Product and Service Innovation,” translated into Japanese, Gijutu, Keizai (Vol.487, Sept. 2007. 
  112. Huang Runqing, Xi, Lifeng, Li, Xinglin, Liu, C. Richard, Qiu, Hai, Lee, Jay, Residual life predictions for ball bearing based on Self-Organizing Map and Back Propagation Neural Network, International Journal of Mechanical Systems and Signal Processing, MSSP05-15R1, November, 2006.
  113. Yang, Z., Chang, Q., Djurdjanovic, D., Ni, J., and Lee, J., Maintenance Priority Assignment On-Line Production Information, accepted for publication in the Transaction of ASME, Journal of Manufacturing Science and Engineering, Paper no. MANU-05-1073, 2006..
  114. Liu, J. Djurdjanovic, D., Ni, J., Casoetto, J., and Lee, J., Similarity Based Method for Manufacturing Process Performance Prediction and Diagnosis, Journal of Computers in Industry, Paper no. COMIND-D-06-00035, 2007.
  115. Lee, J., Liao, H.T., Predictive Monitoring and Failure Prevention of Vehicle Electronic Components and Sensor Systems, Transaction of SAE 2006, paper no. 2006-01-0373 
  116. Lee, J. Transforming Productivity from Product-based Manufacturing to Service-Centric Innovation, Japanese Productivity Center Technology Innovation Management (TiM) Journal, June 2006 (in Japanese). 
  117. Yu, G., Qiu, H., Djurdjanovic, D., Lee, J. “Feature Signature Prediction of a Boring Process using NN Modeling w Confidence Bounds, Int. Journal of Advanced Manufacturing Technology (IJAMT), Vol. 30, Number 7-8, pp. 614-621, Oct. 2006. 
  118. Lei Zhang, Qixin Cao, Jay Lee, Yanzheng Zhao, A Modified CMAC Algorithm based on Credit Assignment, Neural Network Letters. July 2006.
  119. Zhou, Xiaojun, Xi, Lifeng, Lee, J., “A Dynamic Opportunistic Maintenance Policy for Continuously Monitored Systems,” Journal of Quality in Maintenance Engineering, Vol. 12, No. 3, 2006.
  120. Lee, J., Ni, J., (etc), Djurdjanovic, D “Intelligent Prognostics Tools and E-Maintenance,” Int. Journal of Computer in Industry, Volume 57, Issue 6, August 2006. 
  121. Qiu, H., Lee, J., Lin, J., YU, G, Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics, International Journal of Sound and Vibration, volume 289(4-5), pages 1066-1090, February 2006.
  122. Yan, J and Lee, J., Machine Degradation Assessment and Root Cause Classification Using Logistic Regression Method, ASME Journal of Manufacturing Science and Engineering, vol. 127, pp. 912-914, November 2005.
  123. Yan, J.H., Lee, J., Pan, Y.C., Introduction of Watchdog Prognostics Agent and its Application to Elevator Hoistway Performance Assessment, Journal of Chinese Institute of Industrial Engineers, Vol. 22, No. 1, pp-56-63, 2005.
  124. Chen, Z., Lee, J. Qiu, H., “Intelligent Infotronics System Platform for Remote Monitoring and E-Maintenance,” International Journal of Agile Manufacturing, Special Issue on Distributed E-Manufacturing, volume 8, No. 1 issue, 2005.
  125. Zhang, L., Cao, Q.X., Lee, L., PCA-CMAC based machine performance degradation assessment, Southeastern Univ. Academic Journal, China, 2005.
  126. Huang, Runqing, Xi, Lifeng, Lee, J., Xinglin Li, C. Richard Liu, Hai Qiu, The Framework, Impacts, and Commercial Prospect of a New Predictive Maintenance Systems, Int. Journal of Production Planning and Control, Vol. 6, No. 2, pp 662-664. 2005
  127. Lee, J., Infotronics Technologies and Methods for Near-Zero Breakdown, Technology and Economy Journal (Japanese) special issue on Technological Outlook for next 10 years, pp. 56-66, September 2004. 
  128. Takata, S.,Kimura, F., , F.J.A.M. van Houten, Westkämper,  E., Shpitalni, M., , Ceglarek D., Lee, J., “Maintenance: Its Role in Life Cycle Management Systems,” CIRP General Assembly, Aug. 2004.
  129. Yan, Jihong, Koc, Muammer, Lee, Jay, “A Prognostics Algorithm for Machine Performance Assessment and its Application,” International Journal on Production Planning & Control, Vol. 15, No. 8, pp 796-901, 2004.
  130. Zhang, L., Cao, Q., Lee, J., Zhao, Y., A Modified CMAC Algorithm based on Credit Assignment, International Journal of Neural Network Letters, Kluwer Academic Publisher. 2004.
  131. Djurdjanovic, D., Ni, J., and Lee, J., “Sensor Fusion for Time-Frequency Based Monitoring and Assessment of Process Performance,” submitted to Trans. of ASME, Journal of Manufacturing Science and Engineering, 2003. 
  132. Djurdjanovic, D., Lee, J., Ni, J., Watchdog Agent–An Infotronics-based Prognostics Approach for Product Performance Degradation Assessment and Prediction, Special Issue on Intelligent Maintenance Systems, Engineering Informatics Journal (formerly AI in Engineering, Pages 107-189, Volume 17, Issues 3-4, , pp110-125. July-October, 2003
  133. Adazkpa K.P., Adjallah, K.H., Lee J., A New Effective Heuristic for Intelligent Management of Prevent Maintenance of Distributed Systems, Special Issue on Intelligent Maintenance Systems, Engineering Informatics Journal (formerly AI in Engineering, Pages 107-189, Volume 17, Issues 3-4, July, October 2003.
  134. Qu, L.S., Li, L., Lee J., “Cybernetics in Machinery Diagnosis and Prognostics,” Special Issue on Intelligent Maintenance Systems, Engineering Informatics Journal (formerly AI in Engineering, Pages 107-189, Volume 17, Issues 3-4, , pp 142-150, July-October 2003
  135. Zhou X J, Xi L F, Lee J. Web-enabled e-Manufacturing Technology. High Technology Letters, China, September 2003. [In Chinese]. 
  136. Xi L F, Zhou X J, Lin Z Q, Lee J. Web-enabled intelligent e-maintenance technology, Journal of Compute Integrated Manufacturing Systems, 2003, 9(4): 325-329. [In Chinese], CIMS，2003, 9(4): 325-329.
  137. Koc, M, Ni, J., Lee, J., Bandyopadhyay, P., “Introduction of E-Manufacturing,” International Journal of Agile Manufacturing, Special Issue on Distributed E-Manufacturing, Vol. 6, Dec. 2003 
  138. Casoetto, N., Djurdjanovic, D., Mayor, D., Lee, J. and Ni, J., “Multi-sensor Process Performance Assessment Through the Use of Autoregressive Modeling and Feature Maps," Journal of Manufacturing Systems, Vol. 22/No.1, 2003. 
  139. Koç, M. and Lee, J "e-Manufacturing- Fundamental, Requirements and Expected Impacts,” Int'l Journal of Advanced Manufacturing Systems, Dec. 2003.
  140. Lee, J., “e-Manufacturing Systems: fundamental and tools,” Int. Journal of Robotics and Computer-integrated manufacturing, Vol 9. Issue 6, pp 501-507, Dec. 2003..
  141. Qiu, H., Lee, J., Lin, J., YU, G., Robust Performance Degradation Assessment Methods for Enhanced Rolling Element Bearing Prognostics, Special Issue on Intelligent Maintenance Systems, Engineering Informatics Journal (formerly AI in Engineering, Pages 107-189, Volume 17, Issues 3-4, , pp. 127-140. July, October 2003
  142. Lee, J., “Smart Products and Service Systems for e-Business Transformation,” Special Issues on "Managing Innovative Manufacturing,” International Journal of Technology Management, pp. 45-52, Vol. 26, No. 1, 2003.  
  143. Koc, Muammer, Lee, J., “System Framework for Next-Generation E-Maintenance Systems,” Transaction of Chinese Mechanical Engineer, Vol.12, No.5, May. 2001. 
  144. Lee, J., “E-Intelligence Strategies for Product and Manufacturing Innovation,” Transaction of Chinese Mechanical Engineer, Vol.12, No.5, May. 2001.
  145. Japanese Strategy in Globally Integrated Manufacturing; Lesson Learned, International Journal of Manufacturing Technology and Management, Vol 1, Nos 4/5, pp381-388, 2000.
  146. Lee, J., ”Machine Performance Assessment Methodology and Advanced Service Technologies,” 4th Frontiers in Engineering, National Academy Report, pp. 75-83, March 1999.
  147. Lee, J. “Teleservice Engineering in Manufacturing: Challenges and Opportunities,” International Journal of Machine Tools & Manufacture, Vol. 38, Number 8, pp. 901-910, August 1998.

Conference Publications

  1. Abhijeet Ainapure, Xiang Li, Jaskaran Singh, Qibo Yang and Jay Lee. Deep Learning-Based Cross-Machine Health Identification Method for Vacuum Pumps with Domain Adaptation. 48th SME North American Manufacturing Research Conference. June 2020.
  2. Yinglu Wang, Xiaodong Jia, Xiang Li, Shaojie Yang, Haodong Zhao and Jay Lee. A Machine Vision Based Monitoring System for the LCD Panel Cutting Wheel Degradation. 48th SME North American Manufacturing Research Conference. June 2020.
  3. Yang, Q., Singh, J., & Lee, J. Isolation-Based Feature Selection for Unsupervised Outlier Detection. Proceedings of the Annual Conference of the PHM Society. 2019, 10, 1.
  4. Xiaodong Jia, Haoshu Cai, Yuanming Hsu, Wenzhe Li, Jianshe Feng, Jay Lee. A Novel Similarity-based Method for Remaining Useful Life Prediction Using Kernel Two Sample Test. Proceedings of the Annual Conference of the PHM Society. 2019, 10, 1.
  5. Negri, E., Davari, H.,Cattaneo, L.,Singh, J., Macchi, M., Lee, J., A Digital Twin-based scheduling framework including Equipment Health Index and Genetic Algorithms. 13th IFAC Workshop on Intelligent Manufacturing Systems Oshawa, Ontario, Canada, 12-14 August 2019.
  6. Azamfar, M., Jia, X., Pandhare, V.,Davari, H.,Singh, J., Lee, J, 2019. Detection and diagnosis of bottle capping failures based on motor current. 47th SME North American Manufacturing Research Conference, NAMRC 47, Pennsylvania, USA.
  7. Pandhare, V., Singh, J. and Lee, J., 2019, May. Convolutional Neural Network Based Rolling-Element Bearing Fault Diagnosis for Naturally Occurring and Progressing Defects Using Time-Frequency Domain Features. In 2019 Prognostics and System Health Management Conference (PHM-Paris) (pp. 320-326). IEEE.
  8. X. Jia, C J. Lee, Z Zhang, P. Radecki, J Lee. A Methodology for the early diagnosis of vehicle torque converter clutch degradation. 2019 IEEE International Conference on Automation Science and Engineering. IEEE, 2019.
  9. Jianshe Feng, Methodology of adaptive prognostics and health management using streaming data in big data environment. 2019 PHM Society Doctoral Consortium, Sept 24-26, 2019, Tempe AZ, US.
  10. Jianshe Feng, Xinyu Du, Mutasim Salman, Wheel bearing fault isolation and prognosis using acoustic based approach. Annual Conference of the Prognostics and Health Management 2019, Sept 24-26, 2019, Tempe AZ, US.
  11. Jianshe Feng, Xiaodong Jia, James Moyne, Jimmy Iskandar, Heng Hao, Kommisetti Subrahmanyam, Michael Armacost, Andrei Korobkov, Jay Lee, Pattern-based trace segmentation and feature extraction for semiconductor manufacturing and application to fault detection. Advanced Process Control 30th, Oct 8-11, 2018, Austin, TX, US.
  12. Jia, X., Huang, B., Feng, J., Cai, H. and Lee, J., 2018, September. A Review of PHM Data Competitions from 2008 to 2017. In Proceedings of the Annual Conference of the PHM Society (Vol. 10, No. 1).
  14. Shi Z, Lee J, Cui P. Prognostics and health management solution development in LabVIEW: Watchdog agent® toolkit and case study. InPrognostics and System Health Management Conference (PHM-Chengdu), 2016 Oct 19 (pp. 1-6). IEEE.
  15. Lee J, Bagheri B, Kao HA. Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics. InInternational Proceeding of Int Conference on Industrial Informatics (INDIN) 2014 (pp. 1-6).
  16. Lee J, Bagheri B. Cyber-Physical Systems in Future Maintenance. In9th WCEAM Research Papers 2015 (pp. 299-305). Springer, Cham.
  17. Jin W, Shi Z, Siegel D, Dersin P, Douziech C, Pugnaloni M, La Cascia P, Lee J. Development and evaluation of health monitoring techniques for railway point machines. InPrognostics and Health Management (PHM), 2015 IEEE Conference on 2015 Jun 22 (pp. 1-11). IEEE.
  18. Jin C, Djurdjanovic D, Ardakani HD, Wang K, Buzza M, Begheri B, Brown P, Lee J. A comprehensive framework of factory-to-factory dynamic fleet-level prognostics and operation management for geographically distributed assets. InAutomation Science and Engineering (CASE), 2015 IEEE International Conference on 2015 Aug 24 (pp. 225-230). IEEE.
  19. Lee J, Ardakani HD, Yang S, Bagheri B. Industrial big data analytics and cyber-physical systems for future maintenance & service innovation. Procedia CIRP. 2015 Jan 1;38:3-7.
  20. Ardakani HD, Liu Z, Lee J, Bravo-Imaz I, Arnaiz A. Motor current signature analysis for gearbox fault diagnosis in transient speed regimes. InPrognostics and Health Management (PHM), 2015 IEEE Conference on 2015 Jun 22 (pp. 1-6). IEEE.
  21. Ardakani HD, Phillips B, Bagheri B, Lee J. A New Scheme for Monitoring and Diagnosis of Multistage Manufacturing Processes Using Product Quality Measurements. 2015.
  22. Bagheri B, Siegel D, Zhao W, Lee J. A Stochastic Asset Life Prediction Method for Large Fleet Datasets in Big Data Environment. InASME 2015 International Mechanical Engineering Congress and Exposition 2015 Nov 13 (pp. V014T06A010-V014T06A010). American Society of Mechanical Engineers.
  23. Lee, J., Kao, H. A., Shanhu Yang. (2014, May) Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment. In the Proceedings of the 6th CIRP Conference on Industrial Product-Service Systems, Ontario, Canada.
  24. Lee, J., Kao, H. A. (2014, April). Dominant Innovation Design for Smart Products-Service Systems (PSS): Strategies and Case Studies. In Service Research and Innovation Institute (SRII) 2014, San Jose, USA.
  25. Lee, J., Kao, H. A. (2014, April). Dominant Innovation Design for Smart Products-Service Systems (PSS): Strategies and Case Studies. In Service Research and Innovation Institute (SRII) 2014, San Jose, USA.
  26. Bagheri, B., Siegel D., Lee J. (2014, May). A Computational and Accuracy Based Evaluation of Automated Algorithms for Mechanical System Health Assessment and Fault Classification. In Machinery Failure Prevention Technology (MFPT) 2014, Virginia Beach, USA
  27. Kao, H. A., Jin C., Liu, Z. C., Yang S. H., Shi, Z. (2014, May). Dynamic Condition based Feature Extraction Strategy for Machine Health Monitoring Applications. In Machinery Failure Prevention Technology (MFPT) 2014, Virginia Beach, USA
  28. Siegel, D.,  Lee, J., Dempsey, P., INVESTIGATION AND EVALUATION OF CONDITION INDICATORS, VARIABLE SELECTION, AND HEALTH INDICATION METHODS AND ALGORITHMS FOR ROTORCRAFT GEAR COMPONENTS, Proceeding of MFPT 2014, May 2014.
  29. Jin, C., Ompusunggu, AP, Liu, ZC,  Ardakani, HD, Petre, F, Lee, J., A Vibration-Based Approach for Stator Winding Fault Diagnosis of Induction Motors: Application of Envelope Analysis, Proceeding of PHM 2014. 
  30. Jin, C., Zhao, W.Y., Liu, Z.C.,Lee, J., A Vibration-Based Approach for Diesel Engine Fault Diagnosis, Proceeding of IEEE PHM 2014.
  31. Ompusunggu, AP, Liu, ZC, , Ardakani, HD, Jin, C., Petre, F., Lee, J., Winding fault diagnosis of 3-phase induction motors powered by frequency inverter drive using the current and voltage signals, Proceeding of Mechatronics 2014.
  32. Lee, J., Bagheri, B., H.A. Kao, Cyber-Integrated Big Data Analytics Agent for Industry 4.0 Applications,” Expert Forum on Agent for Industry 4.0, Munich, Germany, May 7-8, 2014.  
  33. Siegel, D., Che, Y., Lapira, E, Lee, J., Data Analysis Methods, Challenges, and Lessons Learned, for Remote Monitoring Diagnosis and Maintenance Action Recommendation, Proceeding of PHM 2013 (4th Place in PHM Data Challenge).
  34. Jin, W., Chen, Y., Lee, J., METHODOLOGY FOR BALL SCREW COMPONENT HEALTH ASSESSMENT AND FAILURE ANALYSIS, Proceedings of the ASME 2013 International Manufacturing Science and Engineering Conference MSEC2013, Madison Wisconsin, June 10-14, 2013, 
  35. YANG Jiang-tian, ZHAO Wen-yu and LEE Jay, Stator Current-Based Locomotive Traction Motor Bearing Fault Detection, Proceeding of 2013 International Conference on Functional Manufacturing and Mechanical Dynamics, 2013. 
  36. Lapira, E., Bagheri, B., Zhao, W., Lee, J., Henriques, R., Pereira, C.,Piccoli, LP., Guimarães, CSS., A Systematic Approach to Intelligent Maintenance of Production Systems with a Framework for Embedded Implementation, Proceeding of 11th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2013), Sao Paulo, Brazil, May 21-24, 2013.
  37. Lee, J., Lapiar, E., Yang, S.H., Kao, H.A., Predictive Manufacturing System – Trends of Next-Generation Production Systems, Proceeding of 11th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2013), Sao Paulo, Brazil, May 21-24, 2013.
  38. Siegel, D., Lee, J., RECONFIGURABLE INFORMATICS PLATFORM FOR RAPID PROGNOSTIC DESIGN AND IMPLEMENTATION: TOOLS AND CASE STUDIES, Proceeding of MFPT, May 2013 (Received Best Paper Award).
  39. YANG Jiang-tian, ZHAO Wen-yu and LEE Jay, Stator Current-Based Locomotive Traction Motor Bearing Fault Detection, Proceeding of 2013 International Conference on Functional Manufacturing and Mechanical Dynamics, 2013. 
  40. Galar D., Kumar U., Lee J., and Zhao, W., Remaining Useful Life Estimation using Time Trajectory Tracking and Support Vector Machines, Proceding of 25th International Congress on Condition Monitoring and Diagnostic Engineering IOP Publishing Journal of Physics: Conference Series 364 (2012) 012063.
  41. Siegel, D., Ly, C., Bayba, A.J., Tom, K. and Lee, J., "Advanced Diesel Engine Health Monitoring Algorithms for Ground Vehicles," In Proceedings of 2012 MFPT Applied Systems Health Management Conference.
  42. Lee J, Yang S, Lapira E, Kao A and Yen N (2012) Recent Advances and Trends on Cloud-based Machinery Prognostics and Health Management. Proceedings of the Int'l Conf. on Pervasive and Embedded Computing and Communication Systems (PECCS 2012).
  43. Zhao, W., Abuali, M. and Lee, J., "A Comparative Study of Power-based Machine Health Assessment Models," 2011 IEEE International Conference on Prognostics and Health Management.
  44. Skirtich, T., Siegel, D. and Lee, J., "A Systematic Health Monitoring and Fault Identification Methodology for Machine Tool Feed Axis," MFPT Applied Systems Health Management Conference, 2011
  45. Siegel, D., Ly, C. and Lee, J., "Evaluation of Vibration Based Health Assessment and Diagnostic Techniques for Helicopter Bearing Components," 2011 DSTO International Conference on Health and Usage Monitoring, Melbourne Australia
  46. Siegel, D., Zhao, W., Al-atat, H., Lee, J. and Kumar, M., "A Particle Filtering Approach to Remaining Useful Life Prediction of Aircraft Engines," MFPT Applied Systems Health Management Conference 2011
  47. Siegel, D., Ly, C. and Lee, J., "Methodology and Framework for Predicting Rolling Element Helicopter Bearing Failure," 2011 IEEE International Conference on Prognostics and Health Management
  48. Siegel, D. , Ly, C., Bayba, A.J., Tom, K., and Lee, J., “Advanced diesel engine health monitoring algorithms for ground vehicles,” 2012 MFPT Applied Systems Health Management Conference
  49. Lee J, Yang S, Lapira E, Kao A and Yen N (2012) Recent Advances and Trends on Cloud-based Machinery Prognostics and Health Management. To appear in the Proceedings of the Int'l Conf. on Pervasive and Embedded Computing and Communication Systems (PECCS 2012) – Submitted
  50. Lee J, Lapira E and Zhao W (2011) An advanced prognostics and health management (PHM) framework for wind turbines: Methodology and case study. In Proceedings of the 2011 China Wind Power. Beijing, China
  51. Kao A, Lee J, Lapira E, Yang S, Huang Y and Yen N (2011) iFactory cloud service platform based on IMS tools and Servo-lution. In Proceedings of the World Congress on Engineering Asset Management (WCEAM) 2011. Cincinnati, OH, USA
  52. Lee J, Lapira E, Skirtich T and Siegel D (2011) Smart Decision Support Tools for Robotics and Automation Systems. In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics (ICINCO) v2. Noordwijkerhout, The Netherlands
  53. Lee, J., Lapira, E. and Zhao, W., "Advanced Prognostics and Health Management (PHM) Framework for Wind Turbines: Methodology and Case Study," 2011 China Wind Power Conference. 
  54. Lapira E, Siegel D, Zhao W, Brisset D, Su J, Wang C, Abuali M and Lee, J (2011) A Systematic Framework for Wind Turbine Health Assessment under Dynamic Operating Conditions. 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM)
  55. Chen, Y. and Lee, Jay “Autonomous Mining for Alarm Correlation Patterns based on Time-shift Similarity Clustering in Manufacturing System”, 2011 IEEE International Conference on Prognostics and Health Management
  56. Zhang, J.L., Liao, L. L., Lee, J., Prognostics and Health Monitoring of Li-Ion Battery for Hybrid Electric Vehicle, Proceeding of SAE 2010, 10AE-0018.
  57. Song, B.L., Lee, J., Siegal, D., Wang, T.Y., Ghaffari, M., Lapira, E., Wu, F.J., Atat, H., Liao, L.X., Abuali, M., etc., Machine Learning based Remote and Online Wind Turbine Prognostics and Health Management, ASME 2010 DETC & CIE Conference, 2010, Montreal, Canada.(abstract accepted).
  58. Li, B.S., Hong, L.V., Cao, Q.X., Zhang, L., Lee, J., A 3D Curve Grouping Methods and Its Application, Proceeding of 2009 Conference on Environmental Science and Information Application Technology, accepted for publication (EI 20094712458906)
  59. E. Lapira, E., Wang, T., Lee, J., “E-Maintenance System Design for Smart and Lean Machine Tools,” Proceedings of the 10th International Conference on Automation Technology. June 2009.
  60. A. A. Mosavi, T. Wang, H. Wang, R. Seracino, and S. Rizkalla, Lee, J., “Damage Identification for Bridges Using Frequency and Time Domain Data”, Proceeding of International Modal Analysis Conference (IMAC XXVII), Orlando, Florida, February 2009, pp 258-267.
  61. Lee, J., AbuAli, M. (2009) ‘Intelligent Maintenance Systems Next 5 Years and Beyond: Transforming Condition-based Maintenance to Productivity and Service Innovation’. Keynote Paper, 22th International COMADEM Conference. 
  62. Wang, T.Y.,  and Lee, J., “On Performance Evaluation of Prognostics Algorithms,” Proceedings of MFPT 2009. April 2009. pp. 219-226.
  63. Zhang, J.L., Liao, L. L., Lee, J., Prognostics and Health Monitoring of Li-Ion Battery for Hybrid Electric Vehicle, Proceeding of SAE 2010, 10AE-0018.
  64. Siegel, D., Lapira, E., AbuAli, M., Lee, J. (2009) ‘A Systematic Health Monitoring Methodology for Sparsely Sampled Machine Data’. Machine Failure and Prevention Conference MFPT 2009.
  65. Wang, S., Lapira, E., Xi, L., Lee, J., Ann SVDD based Novelty Detector and its Applications in Machinery Components, Proceeding of 3rd World Congress in Engineering Asset Management and Intelligent Maintenance Systems (WCEAM-IMS 2008), Beijing, China, Oct. 27-29 2008.
  66. Wang, T., Yu, J., Siegel, D., and Lee, J., “A Similarity-Based Prognostics Approach for Remaining Useful Life Estimation of Engineered Systems,” (2008). Proceedings of 2008 Intl. Conference on PHM.
  67. Wang, Al-Atat, Ghaffari, Lee and Xi. Prognostics of Automotive Sensors: Tools and Case Study, Proceedings of MFPT 62, May 2008.
  68. Liao, L., Lee, J., A Reconfigurable Embedded Prognostics Platform for Machinery Performance Management, in Proceeding of the 62nd Machinery Failure Prevention Technology. 2008. 
  69. Liao, L., Huang, B., Lee, J., Logistic Regression-based Machine Health Assessment Method on Application of Smart Machine Tool, in Proceeding of International Conference on Smart Machining Systems, 2007. 
  70. Liao, L., H. Wang, and J. Lee, Bearing Health Assessment and Fault Diagnosis using the Methods of Self-organizing Map, in Proceeding of the 61st Machinery Failure Prevention Technology. 2007. 
  71. Goncalves, L.F., Lubaszewski, M.S., Pereira C.E., Henriques, R. V., Lazzaretti, E.P., Lee, J., “Development of an Intelligent Maintenance Systems for Electric Valve,” Proceeding of 19th International Congress of Mechanical Engineering, Nov. 5-9, 2007, Brazil, DF.
  72. Wang, H, Lee, J., Ueda, T., Gaffari, M., Adjallah, K., Novel Engine Haelth Assessment and Prediction using Group Method of Data Handling Technique and the Method of Match Matrix-Autoregressive Moving Average Model, Proceeding of ASME Turbo Expo, May 12-17,  2007.
  73. SODEMANN, A. and Y. LI, Y., Lee, J. (etc.), “Smith Predictor Based Position Control for the Inlet Guide Vane of Centrifugal Air Compressor,” Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition (IMEC&E 2006-13101), November 5-10, 2006, Chicago, Illinois, USA. 
  74.  SODEMANN, A. and Y. LI, Y., Lee, J. (etc.), “Data-Driven Surge Map Modeling for Centrifugal Air Compressors,” Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition (IMEC&E 2006-13103), November 5-10, 2006, Chicago, Illinois, USA.
  75. Lall, Pradeep, Hande, Madhura, Bhat, Chandan, Islam, Nokibul, Suhling, Jeff, Lee, Jay  “Feature Extraction and Damage-Precursors for Prognostication of Lead-Free Electronics,”, Proceeding of IEEE Electronic Component and Technology, pp718-727, 2006.
  76. Li, P.J., Qin, X.S., Adjallah, K., Lee, J. Cooperative Decision Making for Diagnosis of Complex System based on Game Theory: Survey and an Alternative Scheme, Proceeding INDIN 2006, Singapore, Aug. 2006.
  77.  Ali, S.A., Ahamed, S.J., Lee, J., and Seifoddini, H., “Intelligent Systems for Production Scheduling in High-Mix Low-Volume Manufacturing Systems”, Proceedings of the 7th International Conference on Computational Intelligence and Natural Computing (CINC 2005), Salt Lake City, Utah, pp. 499-502, July 21 - 26, 2005.
  78. HAI, Q. Lee, J., NI, J., Advanced Prognostics for Intelligent Maintenance Systems, 16 IFAC World Congress, Prague, July 2005.
  79. Zhang, L., Cao, Q.X., Lee, J., A Modified Clustering Algorithm based on Swarm Intelligence, Proceeding of International Conference on Natural Computation (ICNC'05) and the Second International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'05), Changsha, China, Aug. 27-29, 2005 (SCIE Index).
  80. Jardine, A.K.S. , Lin,  D.,  Banjevic,  D.  Lee,  J. , A Hybrid Diagnostics and Prognostics Platform, Proceeding of Canadian Machinery Vibration Association Conference, Ottawa, Oct. 2004. 
  81. Life Cycle Engineering, September 29th to October 1st 2004 at the Production Technology Center (PTZ), Berlin, Germany.
  82. Lee, J. Ni, J. Infortronics-Based Intelligent Maintenance System and its Impacts to Close-Loop Product Life Cycle System, Proceeding of Global Conference on Sustainable Product Development and 
  83. Liu, J. Djurdjanovic, D., Ni, J., Lee, J., Performance Similarity Based Method for Enhanced Prediction of Manufacturing Process Performance, accepted by AMSE national Mechanical Engineering Congress November 13-19, 2004, Anaheim, California.
  84. Yang, Z., Chang, Q., Djurdjanovic, D., Ni, J., Lee, J., “ Maintenance Priority Assignment Utilizing On-Line Production Information,” Proceeding Japan USA Symposium on Flexible Automation, July 19-21, 2004.
  85. Zhou, H., Lee, J., Qiu, H., Chen, Z., “ Multi-fault Diagnosis with Bayesian Networks,” to be appeared in Proceeding of Japan USA Symposium on Flexible Automation, July 19-21, 2004. 
  86. Chen, Z., Qiu, H., Zhou, H., Lee, J., “ Web-enabled E-Maintenance Systems for CNC Machine Tools, “ to be appeared in Proceeding of Japan USA Symposium on Flexible Automation, July 19-21, 2004. 
  87. Chen, Z., Qiu, H., Zhou, H., Lee, J., “ Web-enabled E-Maintenance Systems for CNC Machine Tools, “to be appeared in Proceeding of Japan USA Symposium on Flexible Automation, July 19-21, 2004. 
  88.  Lee, J., Ramzi Abujamra, Andrew K.S. Jardine, Daming Lin, Dragan Banjevic, An integrated platform for diagnostics, prognostics and maintenance optimization, Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France. 
  89. Tong, G., Lee, J., Walker, M.J., Remote Monitoring and Prognostics of A Materials Handling Systems, Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France. 
  90. Liu, Chengliang, Wang Xue, Mao Yubin, Qi Xincao, Lee, J.,  Internet Server Controller Based Intelligence Maintenance System for Products, Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France. 
  91. Xie, K., Liu, C., Lee, J., Cao, Q., Lei, M., Feng, Z., The application study of the chaotic encryption in the remote monitoring, Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France. 
  92. Yu, G., Qiu, H., Djurdjanovic, D., Lee, J., Performance Prediction Using Recurrent Neural Network Modeling with Confidence Bounds, Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France. 
  93.  Wang Xue, Liu Chengliang, and Lee, J., Intelligent Maintenance Based on Multi-sensor Data Fusion to Web-enabled Automation Systems, Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France.
  94. Lee. J. and Ni, J., Infotronics-Based Intelligent Maintenance System and its Impacts to Closed-Loop Product Life Cycle Systems, Invited Keynote Paper, Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France. 
  95. Lei, Y., Djurdjanovic, D., Workman, G., Xiao, G., Lee, J., Basic Prognostics in Industrial Automation Systems, Proceedings of the 6th International Conference on Frontiers of Design and Manufacturing, June 21-23, 2004, Xi'an, China. STATUS: RELEASED 21-JUN-2004.
  96. Zhang, L., Cao, Q.X., Lee, J., A Hybrid One-by-one Learning with Incremental Learning Algorithm in CMAC, Proceeding of 5th World Congress on Intelligent Control and Automation, HangZhou, China, June 15-19, 2004.
  97. Sun, Y.J., Cao, Q.X., Lee, J., Robust Mobile Robot On-the-fly Localization using Geometrical Feature Matching Method, Proceeding of 5th World Congress on Intelligent Control and Automation, HangZhou, China, June 15-19, 2004.
  98. Ali, S.A., Khadem, M., Seifoddini, H., Lee, J. “Optimal System Design of Flexible Assembly Systems”, Proceedings of the 13th Industrial Engineering Research Conference (IERC 2004), Houston, Texas, May 15-19, 2004.
  99. Ali, S.A., Lee, J., Khadem, M. and Seifoddini, H., “Intelligent Production Scheduling for Medical Equipments in Global Logistics Environment”, Proceedings of the 13th Industrial Engineering Research Conference (IERC 2004), Houston, Texas, May 15-19, 2004.
  100. Yuan, S., Ge, M.,. and Lee, J., Xu, Y. S. Intelligent Diagnostics of Electromechanical Operation Systems,  Proceeding of  IEEE International Conference on Robotics and Automation, New Orleans, Louisiana, April 26 - May 1, 2004. S.A. Ali, J. Lee And H. Seifoddini, “Multi Constraint Based Product Mix and Dynamic Scheduling for Flexible Manufacturing Systems”, Proceedings of the 2004 Japan-USA Symposium on Flexible Automation (JUSFA 2004), Denver, Colorado, July 19-21, 2004.
  101. Lee, J., Qiu, H., Ni, J., Djurdjanovic, D, “Infotronics Technologies and Predictive Tools for Next-Generation Maintenance Systems, Proceedings of 11th IFAC Symposium on Information Control Problems in Manufacturing, Brazil April 4-7, , 2004 (invited plenary speech paper).
  102. Lee, J and Ni, J., “Infotronics Technology for Intelligent Maintenance Systems,” Keynote paper, Proceeding of International Conference on Competitive Manufacturing (COMA’04), Stellenchbosch, S.A, Feb. 2004 (invited keynote paper). 
  103. Lee, J., Ni, J. “Advances on Prognostics,” Proceeding of 7th International Conference on Mechatronics Technology, Taiwan, Dec. 1-3, 2003 (invited keynote paper)
  104. Hong, D.D., Lee, J., Cho, H.S., Chung, W.J., “ An Adaptive watchdog for Monitoring of machine Degradation using Adaptive Resonance Theory 2, Proceedings of IMS2003:International Conference on Intelligent Maintenance systems (IMS), Xi’an, China, October 30-November 1, 2003
  105. Ali, S.A., Chen, Z. and Lee, J. “Web-enabled Device-To-Business (D2B) platform for real-time decision making”, Proceedings of the 12th Industrial Engineering Research Conference (IERC 2003), Portland, Oregon, May 18-20, 2003.
  106. Huang R., Xi, L., Lee, J., Zero-inventory Model for Equipment Maintenance Spares Based on an Intelligent Maintenance System，Proceedings of IMS2003:International Conference on Intelligent Maintenance systems (IMS), Xi’an, China, October 30-November 1, 2003 (invited keynote paper).
  107. Djurdjanovic,D., Yang Jihong, Qiu Hai, Lee, J, and Ni, J. “Web-enabled Remote Spindle Monitoring and Prognostics,” Proceeding of 2nd International CIRP Conference on Reconfigurable Systems, Ann Arbor, MI, August 21-22, 2003. 
  108. Lee, J., “Review on Advances on Prognostics Algorithms,” DX-2003 14th International Workshop on Principle of Diagnostics,” Washington, DC, June 2003. 
  109. Casoetto, N., Djurdjanovic, D., Mayor, R., Lee, J. and Ni, J., ”Multi-sensor Process Performance Assessment Through the Use of Autoregressive Modeling and Feature Maps,” Trans. of SME/NAMRI, 2002, Paper Number 198.
  110. Ni. J., Lee, J., and Djurdjanovic D., “Watchdog – Information Technology for Proactive Product Maintenance and Ecological Product Re-Use,” Proceeding on Colloquium on E-Ecological Manufacturing, Technical Univ. of Berlin, Germany, March 2003.
  111. Djurdjanovic, Dragan, Ni, J, Lee, J  “Time-frequency Based Sensor Fusion in the Assessment and Monitoring of Machine Performance Degradation,” Proceeding of ASME IMEC&E 2002, New Orleans, LA.
  112. Lee, J. “Web-enabled and Tether-Free Augmented Modeling and Simulation Technologies for Next-Generation Product Design, Manufacturing, and Service,” Proceeding of 14th European Simulation Symposium & Exhibit (ESS 2002), Desden, Germany, Oct. 2002.
  113. Tong, G, Lee, J., “System Performance Assessment Based On Control System Criteria Under Operational Conditions,” Proceeding of 5th Int’l Conference on Managing Innovative Manufacturing (MIM 2002), Sept. 9-11, 2002, Milwaukee, WI, USA
  114. Chen, Sherry, Yang, M., Lee, J., “Optimization Consideration Of The Intelligent Maintenance System,” Proceeding of 5th Int’l Conference on Managing Innovative Manufacturing (MIM 2002), Sept. 9-11, 2002, Milwaukee, WI, USA
  115. Ahad, Ali, Lee, J, “Web-Enabled Device-To-Business (D2B™) Platform For Distributed And Dynamic Decision Making Systems,” Proceeding of 5th Int’l Conference on Managing Innovative Manufacturing (MIM 2002), Sept. 9-11, 2002, Milwaukee, WI, USA
  116. Wang, Xue, Lee, J, Wavelet Neural Network For Machining Performance Assessment And Its Implication To Machinery Prognostic, Proceeding of 5th Int’l Conference on Managing Innovative Manufacturing (MIM 2002), Sept. 9-11, 2002, Milwaukee, WI, USA
  117. Yang, J, Lee, J, Koc, M.,, “Predictive Algorithm for Machine Degradation Detection Using Logistic Regression”, Proceeding of 5th Int’l Conference on Managing Innovative Manufacturing (MIM 2002), Sept. 9-11, 2002, Milwaukee, WI, USA
  118. Koc, M., Ni, J, Lee, J “Introduction of e-Manufacturing,” Proceeding of  International Conference on Frontiers on Design and Manufacturing, Dalian, China, July 2002
  119. Koç, M and Lee, J  “A System Framework for Next-Generation E-Maintenance System”, EcoDesign 2001, Proceeding of Second International Symposium on Environmentally Conscious Design and Inverse Manufacturing, December 11-15. 2001, Tokyo Big Sight, Tokyo, Japan
  120. Koç, M. and Lee, J, “e-Manufacturing and e-Maintenance- Applications and Benefits”, Proceeding of Responsive Manufacturing Conference (RCM) 2002, June 26-29, 2002, Gaziantep, Turkey
  121. Koc, M, Lee, J, “Development of Maintenance Program in Food Industry”, Proceeding of Food Automation Conference, February 11-15, 2002, Ft. Lauderdale, FL, USA
  122. Lee, J. an Ni, J, “Infotronics Agent for Tether-Free Prognostics,” Proceeding of AAAI Spring Symposium on Information Refinement and Revision for Decision Making: Modeling for Diagnostics, Prognostics, and Prediction, Stanford Univ., Palo Alto, CA, March 25-27, 2002.
  123. Lee, J. and Ni, J, “E-Manufacturing and E-Business Integration: A Case Study, Proceeding of International Manufacturing Leaders Forum (IMLF), Adelaide, Australia, Feb. 8-10, 2002.
  124. Lee, J. and Ni, J, Web-enabled E-Manufacturing, Proceeding of 6th International Mfg Technology in Hong Kong, Dec. 2001. 
  125. Lee, L and Muammer Koc, “Framework of Intelligent Maintenance Systems,” Proceeding of EcoDesign Conference, Univ. of Tokyo, Japan, Dec. 2001.
  126. Lee, J, , “e-Maintenance- Its Applications and Benefits”. Plant Engineering and Maintenance Show and Conference, Oct. 16-18, 2001, Milwaukee, WI, USA 
  127. Lee, J., “Smart Product and Service Systems for E-Business Transformation,” Proceeding of PICMET'01 (Portland International Conference on Management of Engineering and Technology), Portland, July 20-August 3, 2001.
  128. Lee, J., “Integration of E-Manufacturing and E-Business,” Proceeding of Industrial Engineering and Production Management (IEPM 2001) Conference, Quebec, Canada, July 20-22, 2001
  129. Lee, J., Ahad, Ali and Koç, M “e-Manufacturing- Its Elements and Impact”, Proceedings of the Annual Institute of Industrial Engineering (IIE) Conference, Advances in Production Session, May 21-23, 2001, Dallas, Texas, USA.
  130. Lee, J., “Smart E-Maintenance and E-Manufacturing Systems for E-Business Transformation,” Proceeding of 3rd Conference Francophone de Modelisation et Simulation, Conception, Analyse et Gestion, des Systeme Industriels, Troyes Cedex, France, April 27-27, 2001.
  131. Lee, J., “Introduction of E-Manufacturing for Manufacturing Automation Needs in an Information Era,” Contributed Panel Paper in the Proceeding of IEEE Robotics and Automation Conference, Seoul, Korea, May 2001.
  132. Lee, J., “E-Intelligence for Product and Manufacturing Innovation,” Invited Special Lecture Paper, Proceeding of 7th CIRP International Symposium on Life Cycle Engineering, Tokyo, Dec. 2000.

Book Chapters

  1. Lee, Jay. Industrial AI: Applications with Sustainable Performance. 2020.
  2. Lee J, Ardakani HD, Kao HA, Siegel D, Rezvani M, Chen Y.   Deployment of prognostics technologies and tools for asset management: platforms and applications. 2015.
  3. Book on “Cyber-Physical Systems in Manufacturing,” Industry Press, to be published in 2015.
  4. Book Chapter on Intelligent Factory Agents with Predictive Analytics for Asset Management, Industrial Agent, 2014.
  5. Guest Editor: Prognostics and Maintenance for Mechanical Systems in Harsh Environment, Advances in Mechanical Engineering, Hindawi Publishing, 2013.
  6. Siegel, D., Zhao, W., Lapira, E., Abuali, M., Lee, J., “NREL Wind Turbine Gearbox Round Robin Report – Report on Algorithms, Method, and Results for Wind Turbine Condition Monitoring”, 2012.
  7. Weihua Li1,2, Yan Chen2, Wen Liu1, Jay Lee2, Spectral Clustering and Its Application in Machine Failure Prognosis,” Book on Graph Theory, 2011.
  8. Book Chapter on Informatics Platform for Designing and Deploying e-Manufacturing Systems, Book on Collaborative Design and Planning for Digital Manufacturing, Edited by Lihui Wang and Andrew Nee, Springer, 2009. 
  9. Book Chapter on New Technologies in Maintenance, Complex System Maintenance Handbook, Edited by Khairy A.H. Kobbacy, D.N. Prabhakar, Springer, 2008.
  10. Book Chapter on Intro of Intelligent Maintenance Systems, Book on Sustainable Manufacturing, Edited by Gunther Seliger, Technical Univ. Berlin, pp. 352-362, Springer, 2007. 

Magazine Articles

  1. Big future for cyber-physical manufacturing systems, Design World Magazine, 2015,  http://www.designworldonline.com/big-future-for-cyber-physical-manufacturing-systems/
  2. Industry 4.0, Uptime Magazine, Jan. 2014.
  3. Industry 4.0 in Big Data Environment , Harting Magazine, Germany, Jan. 2014.
  4. Predictive Manufacturing, Manufacturing Leadership Journal, Jan. 2013, Frost & Sullivan
  5. Why worry about Maintenance, Automation World, Nov. 2012 Issue, http://digital.turn-page.com/i/91267/43.
  6. Reaching Smarter Factory, Industry Week Magazine, Sept. 2007 issue. http://www.industryweek.com/ReadArticle.aspx?ArticleID=14779
  7. Who will break the mold? Automation World, June 2007, http://www.automationworld.com/view-3234 
  8. The quest for zero downtime: Intelligent sensor networks could let production equipment notice maintenance problems before they happen, Machine Design Magazine, June 2007 issue. http://www.machinedesign.com/ASP/viewSelectedArticle.asp?strArticleId=62737&strSite=MDSite&Screen=CURRENTISSUE&CatID=3 
  9. Profit from Condition Monitoring, By James R. Koelsch, Contributing Editor, Automation News, December 2006, http://www.automationworld.com/view-2758 
  10. Intelligence Maintenance Systems Boost Predictive Maintenance, Frost & Sullivan Advanced Manufacturing Alert, July 2006. 
  11. Intelligent Maintenance Draws Interest,News at Automation Word (www.automationworld.com), Jan. 6, 2006. http://www.automationworld.com/view-1811 
  12. A Hybrid Diagnostics And Prognostics Platform by Andrew Jardine, Maintenance Management 2005, 10 - 14 Dec 2005.
  13.  Predictive Maintenance, The Smart Way to Cut Downtime, A predict-and-prevent approach yields more fruit than a fail-and-fix mentality, James R. Koelsch, Contributing Editor, Automation World, Sept. 2005. http://www.automationworld.com/view-1513 
  14. Early Bearing Failure Detection, Advisor Column of the Reliable Plant Magazine, September, 2005. http://www.reliableplant.com/article.asp?articleid=260 
  15. Transforming Maintenance into Predictive Reliability, Advisor column of the Reliable Plant Magazine, July-August, 2005. http://www.reliableplant.com/article.asp?articleid=97 
  16.  Manufacturing Engineering Research Notes, July 2005. http://www.autofieldguide.com/articles/070504.html 
  17. AI in Control , Automotive Design™ and Production (Feature article), July, 2005.
  18.   The Next Wave of Disruptive Technologies, Cover story of Managing Automation Magazine, May 2005.
  19. “Keep on Moving with Advanced Maintenance Systems, “ pp. 28-32, Industrial Automation Journal, Dec. 03/Jan. 04 Issue. 
  20. Questra Report, http://www.customerinsights.net/docs/WhitePaper_AchieveingROI.pdf 
  21. Smart Sensors raise the automation IQ, Article From Automationworld.com, May 2004, http://www.robots.com/articles.php?tag=523 
  22. “Feature Articles: Uptime,” Packaging Machinery Technology, June, 2004 http://www.pmtdirect.com/website/article.asp?id=267 
  23. Manufacturing and Technology News. June 1, 2004, Vol. 11, No. 11
  24. “The Smart Fix is In”, Automation World Magazine, May 2004. P46-47
  25. Automation World, http://www.automationworld.com/articles/Features/671.html?ppr_key=05.2004&sky_key=05.2004&term=05.2004
  26.  http://www.forbes.com/2003/10/02/1002nanotechnologypinnacor.html 
  27. Get Ready For The Age Of Nanotechnology, Industry Week Magazine, Forbes Report, Oct. 2003.
  28. Highlighted by Rockwell Automation Special Report on Remote Monitoring and Diagnostics, Nov. 2003.
  29. Interviewed and Highlighted by Forrester Research Report, “Predicting When Machines Are About To Fail,” Nov. 17, 2003.
  30. Interviewed by Managing Automaton, “Using Prognostics to Avert Potential Failures”, Managing Automation, September 2003.  http://www.managingautomation.com/valuestream/interview.html 
  31. “Electronics: A Voyage of Discovery”, e-Commerce Times, Aug, 2003 
  32. Interviewed by Froster & Sullivan, June 2003.
  33. Interview with Industry Week, on View Machinery as Functional, by John Teresko, May 2003 http://www.industryweek.com/CurrentArticles/asp/articles.asp?ArticleID=1431
  34. Interview with Fortune Magazine on Lean Manufacturing, May 2003 (to be appeared).
  35. Interview with Harbor Research on Pervasive Internet and Intelligent Maintenance Systems, “Approaching Zero Downtime,” Feature April 2003, Harbor Research Pervasive Internet Report April 2003. http://www.harborresearch.com 
  36. Interview with Fortune Magazine on a special article on “Hot Technologies for Future Production and Products, July issue, 2002. http://money.cnn.com/magazines/fortune/fortune_archive/2002/06/24/325193/index.htm
  37. Interviewed by Forrester Research on Collaborative Product Life Cycle, June 2002. http://www.forrester.com/Research/ThankYou/PDF/0,2254,23673,00.pdf
  38. Interviewed by Managing Automation Magazine on a special article on “Hatching New Technologies,” March issue, 2002. http://www.managingautomation.com/
  39. http://www.sme.org/cgi-bin/get-press.pl?&&20021125&TE&&SME&
  40. Interviewed by SME Newsletter on Less Factory Downtime With "Predictive Intelligence", SME, March 2002. 
  41. Interviewed by SME Manufacturing Engineering Magazine on “Moving toward the E-Factory,” Nov. Issue, 2001, Society of Manufacturing Engineers (SME). http://www.sme.org/gmn/mag/2001/01nom042/01nom042.pdf
  42. http://www.manufacturingnews.com/news/01/1130/art1.html
  43. Interviewed by the Manufacturing News on “Maintenance is not as Mundane as it sounds, “ with a featured article, Nov. Issue, 2001. 
  44. Interviewed by UWM Media News Radio, Jan. 2001.
  45. Interviewed by the Milwaukee Journal Sentinel, a front-page coverage on Nov. 13, 2000 issue.
  46. Interviewed by Tooling & Production Magazine, a special coverage, Nov. 2000 issue.