Personal tools
You are here: Home Research Publications
Document Actions

Publications

by Wenyu Zhao last modified 2015-10-02 10:27

List of published, accepted or submited journal and conference papers.

Join us as a member to request full text.

 

Journal Papers

  1. Lee, J., Bagheri, B., Kao, H.A.  A Cyber Physical Systems Architecture for Industry 4.0-based Manufacturing Systems. Manufacturing Letters, 18-23, 2015
  2. 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.
  3. 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.
  4. 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. 
  5. Kao, H.A, Jin, Siegel, D., and Lee, J., Cyber Physical Interface for Automation Systems - Methodology and Example, Journal of Machines, 2014.
  6. 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.
  7.  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.
  8. Zhang, L., Cao, Q.X., Lee, J., A novel ant-based clustering algorithm using Renyi entropy, Journal of Advanced Soft Computing, 2643–2657, 2013.
  9. 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.
  10. 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
  11. 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.
  12. 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.
  13. 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.
  14. 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, 
  15. Xia, Xi, Zhou, Lee, Condition-based maintenance for intelligent monitored series system with independent machine failure modes, International Journal of Production Research, May 2013.
  16. Lee, J, Lapira, Predictive Factory, Feb 2013 Issue, Frost Sullivan.
  17. 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.
  18. 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 
  19. Chen, Y. and Lee, Jay   “Data Quality for Manufacturing Prognostics using Spectral Analysis based Randomness Tests”, Computers in Industry (accepted).  
  20. 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.
  21. 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.
  22. 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).
  23. 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.
  24. 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. 
  25. 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. 
  26. 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
  27. 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
  28. 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. 
  29. Lee, J., and Lapira, E., Prognostics and Health Management for Semiconductor Manufacturing Predictability, Nanochip Magazine, Vol. 6, Issue 11, Nov. 2011.
  30. 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.
  31. 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.
  32. 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 
  33. 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
  34. Lee, J., Ghaffari, M. and Elmellgy, S., "Self-maintenance and engineering immune systems: Towards smarter machines and manufacturing systems," Annual Reviews in Control 35 (1), pp. 111-122, 2011 
  35. 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 
  36. 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
  37. 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). 
  38. 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.
  39. L. Yang, D. Djurdjanovic, R. Chong and J. Lee. Methodology Survey of Condition-Based Maintenance in Semiconductor Manufacturing, IEEE Transaction on Semiconductor Manufacturing, 2011.
  40. 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. 
  41. Journal of Power Sources, 2011. 
  42. Zhang, J.L., Lee, J., A Review on Prognostics and Health Monitoring of Li-ion Battery
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. Wu, Fangji, Lee, J., Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals, Int. Journal of Prognostics and Health Management, 2010.
  49. 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.
  50. Liao, L., Wang, H., Lee, J., A Toolbox Approach for Machinery Health Monitoring and Prognostics, International Journal of Advanced Manufacturing Technology, 2008
  51. 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
  52. 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,
  53. 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.
  54. 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.
  55. 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.
  56. 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).
  57. 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.
  58. 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. 
  59. 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).
  60. 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.
  61. Liao, L., Lee J., Designing a Reconfigurable e-Prognostics Platform for Machine Tools, Expert Systems with Applications, V 37(1), p. 240-252, 2010.
  62. 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
  63. 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.
  64. 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.
  65. 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.
  66. Lee, J., Dominant Design for Product and Service Innovation,” translated into Japanese, Gijutu, Keizai (Vol.487, Sept. 2007. 
  67. 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.
  68. 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..
  69. 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.
  70. 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 
  71. Lee, J. Transforming Productivity from Product-based Manufacturing to Service-Centric Innovation, Japanese Productivity Center Technology Innovation Management (TiM) Journal, June 2006 (in Japanese). 
  72. 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. 
  73. Lei Zhang, Qixin Cao, Jay Lee, Yanzheng Zhao, A Modified CMAC Algorithm based on Credit Assignment, Neural Network Letters. July 2006.
  74. 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.
  75. 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. 
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. Zhang, L., Cao, Q.X., Lee, L., PCA-CMAC based machine performance degradation assessment, Southeastern Univ. Academic Journal, China, 2005.
  81. 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
  82. 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. 
  83. 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.
  84. 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.
  85. 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.
  86. 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. 
  87. 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
  88. 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.
  89. 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
  90. Zhou X J, Xi L F, Lee J. Web-enabled e-Manufacturing Technology. High Technology Letters, China, September 2003. [In Chinese]. 
  91. 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.
  92. 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 
  93. 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. 
  94. Koç, M. and Lee, J "e-Manufacturing- Fundamental, Requirements and Expected Impacts,” Int'l Journal of Advanced Manufacturing Systems, Dec. 2003.
  95. 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..
  96. 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
  97. 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.  
  98. Koc, Muammer, Lee, J., “System Framework for Next-Generation E-Maintenance Systems,” Transaction of Chinese Mechanical Engineer, Vol.12, No.5, May. 2001. 
  99. Lee, J., “E-Intelligence Strategies for Product and Manufacturing Innovation,” Transaction of Chinese Mechanical Engineer, Vol.12, No.5, May. 2001.
  100. Japanese Strategy in Globally Integrated Manufacturing; Lesson Learned, International Journal of Manufacturing Technology and Management, Vol 1, Nos 4/5, pp381-388, 2000.
  101. Lee, J., ”Machine Performance Assessment Methodology and Advanced Service Technologies,” 4th Frontiers in Engineering, National Academy Report, pp. 75-83, March 1999.
  102. Lee, J. “Teleservice Engineering in Manufacturing: Challenges and Opportunities,” International Journal of Machine Tools & Manufacture, Vol. 38, Number 8, pp. 901-910, August 1998.

Book Chapters

  1. Book on “Cyber-Physical Systems in Manufacturing,” Industry Press, to be published in 2015.
  2. Book Chapter on Intelligent Factory Agents with Predictive Analytics for Asset Management, Industrial Agent, 2014.
  3. Guest Editor: Prognostics and Maintenance for Mechanical Systems in Harsh Environment, Advances in Mechanical Engineering, Hindawi Publishing, 2013.
  4. 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.
  5. Weihua Li1,2, Yan Chen2, Wen Liu1, Jay Lee2, Spectral Clustering and Its Application in Machine Failure Prognosis,” Book on Graph Theory, 2011.
  6. 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. 
  7. Book Chapter on New Technologies in Maintenance, Complex System Maintenance Handbook, Edited by Khairy A.H. Kobbacy, D.N. Prabhakar, Springer, 2008.
  8. 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.

 

Technical Reports

  1. Bayba, A.J., Siegel, D., Tom, K. and Ly, C., "Approaches to Health Monitoring of the CAT 7 Diesel Engine," ARL Technical Report, ARL-TR-5677
  2. Siegel, D., Zhao, W., Lapira, E., AbuAli, M. and Lee, J., "NREL Wind Turbine Gearbox Round Robin Report - Report on Algorithms, Method and Results for Wind Turbine Condition Monitoring"

 

Conference Papers

  1. 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.
  2. 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.
  3. 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.
  4. 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
  5. 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
  6. 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.
  7. 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. 
  8. Jin, C., Zhao, W.Y., Liu, Z.C.,Lee, J., A Vibration-Based Approach for Diesel Engine Fault Diagnosis, Proceeding of IEEE PHM 2014.
  9. 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.
  10. 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.  
  11. 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).
  12. 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, 
  13. 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. 
  14. 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.
  15. 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.
  16. 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).
  17. 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. 
  18. 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.
  19. 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.
  20. 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).
  21. 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.
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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. 
  32. 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)
  33. 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
  34. 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.
  35. 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).
  36. 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)
  37. 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.
  38. 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.
  39. 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. 
  40. Wang, T.Y.,  and Lee, J., “On Performance Evaluation of Prognostics Algorithms,” Proceedings of MFPT 2009. April 2009. pp. 219-226.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. Wang, Al-Atat, Ghaffari, Lee and Xi. Prognostics of Automotive Sensors: Tools and Case Study, Proceedings of MFPT 62, May 2008.
  46. Liao, L., Lee, J., A Reconfigurable Embedded Prognostics Platform for Machinery Performance Management, in Proceeding of the 62nd Machinery Failure Prevention Technology. 2008. 
  47. 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. 
  48. 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. 
  49. 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.
  50. 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.
  51. 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. 
  52.  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.
  53. 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.
  54. 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.
  55.  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.
  56. HAI, Q. Lee, J., NI, J., Advanced Prognostics for Intelligent Maintenance Systems, 16 IFAC World Congress, Prague, July 2005.
  57. 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).
  58. 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. 
  59. Life Cycle Engineering, September 29th to October 1st 2004 at the Production Technology Center (PTZ), Berlin, Germany.
  60. 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 
  61. 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.
  62. 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.
  63. 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. 
  64. 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. 
  65. 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. 
  66.  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. 
  67. 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. 
  68. 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. 
  69. 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. 
  70. 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. 
  71.  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.
  72. 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. 
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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).
  80. 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). 
  81. Lee, J., Ni, J. “Advances on Prognostics,” Proceeding of 7th International Conference on Mechatronics Technology, Taiwan, Dec. 1-3, 2003 (invited keynote paper)
  82. 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
  83. 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.
  84. 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).
  85. 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. 
  86. Lee, J., “Review on Advances on Prognostics Algorithms,” DX-2003 14th International Workshop on Principle of Diagnostics,” Washington, DC, June 2003. 
  87. 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.
  88. 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.
  89. 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.
  90. 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.
  91. 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
  92. 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
  93. 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
  94. 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
  95. 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
  96. Koc, M., Ni, J, Lee, J “Introduction of e-Manufacturing,” Proceeding of  International Conference on Frontiers on Design and Manufacturing, Dalian, China, July 2002
  97. 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
  98. 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
  99. Koc, M, Lee, J, “Development of Maintenance Program in Food Industry”, Proceeding of Food Automation Conference, February 11-15, 2002, Ft. Lauderdale, FL, USA
  100. 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.
  101. 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.
  102. Lee, J. and Ni, J, Web-enabled E-Manufacturing, Proceeding of 6th International Mfg Technology in Hong Kong, Dec. 2001. 
  103. Lee, L and Muammer Koc, “Framework of Intelligent Maintenance Systems,” Proceeding of EcoDesign Conference, Univ. of Tokyo, Japan, Dec. 2001.
  104. Lee, J, , “e-Maintenance- Its Applications and Benefits”. Plant Engineering and Maintenance Show and Conference, Oct. 16-18, 2001, Milwaukee, WI, USA 
  105. 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.
  106. 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
  107. 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.
  108. 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.
  109. 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.
  110. 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.

 


Powered by Plone CMS, the Open Source Content Management System

This site conforms to the following standards: