1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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 ( online version)
8. Lee, J., Deng, C.L., Tsan, C.H. and AbuAli, M., "Product life cycle knowledge management using embedded Infotronics: methodology, tools and case studies," Int. J. Knowledge Engineering and Data Mining, Vol. 1, No. 1, pp. 20-36, 2010
9. Raza, J., Liyanage, J.P., Al-Atat, H. and Lee, J., "A Comparative Study of Maintenance Data Classification based on Neural Networks, Logistic Regression and Support Vector Machines," Journal of Quality in Maintenance Engineering, Vol. 16, Issue 3, pp. 303-318, 2010
10. Al-Atat, H., Siegel, D. and Lee, J., "A Systematic Methodology for Gearbox Health Assessment and Fault Classification," International Journal of Prognostics and Health Management Society, Vol 2 (1) 002, pages: 16, 2011 ( online version)
11. Wu, F., Wang, T., and Lee, J., "An online adaptive condition-based maintenance method for mechanical mystems," Mechanical Systems and Signal Processing, vol. 24, issue 8, pp. 2985-2995, 2010
12. Liao, L., and Lee, J., "Design of a reconfigurable prognostics platform for machine tools," Expert Systems with Applications, vol. 37, Issue 1, pp. 240-252, 2009
13. Liao, L., and Lee, J., "A novel method for machine performance degradation assessment based on fixed cycle features test," Journal of Sound and Vibration, Vol. 326, Issue 3-5, pp. 894-908, 2009
14. Lee, J., Chen, Y., Al-Atat, H., Abuali, M. and Lapira, E., "A systematic approach for predictive maintenance service design: methodology and applications." International Journal of Internet manufacturing and Services, Vol. 2, No. 1, pp. 76-94, 2009.
15. Lee, J., Liao, L., Lapira E., Ni, J., and Li, L., "Informatics platform for designing and deploying e-Manufacturing systems," Collaborative Design and Planning for Digital Manufacturing, Springer, London, 2009, pp. 1-35
16. Yan, J., Isobe N., and Lee, J., "Fuzzy Logic Combined Logistic Regression Methodology for Gas Turbine First Stage Nozzle Life,Prediction", Applied Mechanics and Materials , 10-12, pp. 583-587, 2008
17. Liao, L., Wang, H., and Lee, J., "Reconfigurable Watchdog Agent® for machine health prognostics", International Journal of COMADEM, vol. 11, Issue 3, pp. 2-15, 2008
18. Yang, Z., Djurdjanovic, D., Mayor, R., Ni, J. and Lee, J., “Maintenance Scheduling in Production Systems Based on Predicted Machine Degradation,” Journal of Intelligent Manufacturing, Vol. 19, Issue 1, pp. 87-98, 2008
19. Yang, Z., Chang, Q., Djurdjanovic, D., Ni, J. and Lee, J., “Maintenance Priority Assignment On-Line Production Information,” Transaction of ASME, Journal of Manufacturing Science and Engineering, vol. 129, pp. 435, 2007.
20. Liu, J., Djurdjanovic, D., Ni, J., Casoetto, J., and Lee, J., "Similarity Based Method for Manufacturing Process Performance Prediction and Diagnosis", Computers in Industry,  vol. 58(6), pp. 558-566, 2007
21. Zhou, X., Xi, L. and Lee, J., "A Dynamic Opportunistic Maintenance Policy for Continuously Monitored Systems", Journal of Quality in Maintenance Engineering, p. , vol. Vol. 12, 2006
22. Lee, J., Ni, J., Djurdjanovic, D., Qiu, H. and Liao, H., “Intelligent Prognostics Tools and E-Maintenance”, Computers in Industry 57 pp. 476–489, 2006
23. Qiu, H., Lee, J. and Lin, J., “Wavelet Filter-based Weak Signature Detection Method and its Application on Roller Bearing Prognostics”, Journal of Sound and Vibration, Volume 289(4-5), 7 , pp. 1066-1090, 2006
24. Yu, G., Qiu, H., Djurdjanovic, D. and Lee,  J., “Feature Signature Prediction of a Boring Process Using Neural Network Modeling with Confidence Bounds”, International Journal of Advanced Manufacturing Technology, Volume 30, Numbers 7-8,  pp. 614-621, 2006
25. Yan, J. and Lee, J., “Machine Degradation Assessment and Root Cause Classification Using Logistic Regression Method,”  IEEE Mechatronics,” ASME Journal of Manufacturing Science and Engineering, vol. 127, pp. 912-914, 2005.
26. Chen, Z., Lee, J. and Qiu, H., “Intelligent Maintenance Infotronics System Platform for Remote Monitoring and E-Maintenance,” International Journal of Agile Manufacturing, Special Issue on Distributed Manufacturing, 2004
27. Yan, J., Koc, M. and Lee., J., “A Prognostic Algorithm for Machine Performance Assessment and its Application,” Production Planning & Control, Vol. 15, No. 8, pp. 796–801, 2004
28. Qu, L.S., Li, L. and Lee J., “Enhanced diagnostic certainty using information entropy theory,” International Journal of Advanced Engineering Informatics, Vol. 17 (3-4), pp.141-150, July 2004.
29. Zhang, L., Cao, Q., Lee, J., and Zhao, Y., “A Modified CMAC Algorithm based on Credit Assignment,” Neural Network Letters. Vol: 20, Issue: 1, pp. 1-10, 2004.
30. Djurdjanovic, D., Lee, J.  and Ni, J., “Watchdog Agent – An Infotronics Based Prognostics Approach for Product Performance Assessment and Prediction”, International Journal of Advanced Engineering Informatics, Special Issue on Intelligent Maintenance Systems, Vol. 17, No.3-4, pp. 109-125, 2003.
31. 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.
32. 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.
33. Kolokolov, N. Casoetto, D. Djurdjanovic, R. Mayor, J. Lee and J. Ni, “Multisensor Process Performance Assessment Through the Use of Autoregressive Modeling and Feature Maps,” SME Journal f Manufacturing Systems, Vol. 22, No. 1, pp. 64-72, 2003.
34. Koc, M., Ni, J., Lee, J., Bandyopadhyay, P., “Introduction to e-Manufacturing,” International Journal of Agile Manufacturing, Special Issue on Distributed E-Manufacturing, Vol. 6, Dec. 2003
35. Qiu, H., Lee , J.,  Lin, J. and Yu, G., “Robust Performance Degradation Assessment Methods for Enhanced Rolling Element Bearings Prognostics,” Journal of Advanced Engineering Informatics, vol. 17, Issue 3-4, pp. 127-140, 2003.
36. 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,” MSE Journal of Manufacturing Systems, Vol. 22, No. 1, pp. 64-72, 2003.
37. Koç, M. and Lee, J. “e-Manufacturing- Fundamental, Requirements and Expected Impacts,” International Journal of Advanced Manufacturing Systems, 2003.

Book Chapters

1. Chen, Y. and Lee, J., "Spectral Clustering and Its Application in Machine Failure Prognosis," in Graph Theory, ISBN 979-953-307-303-2, 2012
2. Lee, J., Liao, L., Lapira, E., Ni, J. and Li, L., "Informatics Platform for Designing and Deploying e-Manufacturing Systems, " in Collaborative Design and Planning for Digital Manufacturing, Wang, L. and Nee, A.Y.C., Editors, Springer: London, pp. 1-35, 2009

1. Lee, J., AbuAli, M. and Nakajima, H., "Informatics for Precision Energy Monitoring in Manufacturing," SME Energy Manufacturing Yearbook, 2011

2. Lee, J. and Lapira, E., "Prognostics and Health Management Tools of Semiconductor Manufacturing Predictability," Nanochip Fab Solutions, Vol 6, Issue 11, pp. 10-17, 2011

3. Lee, J., Lapira, E., Zhao, W., Su, J.Y., Wang, C.C. and Chung, Y.L., "A Multi-regime Approach for Wind Turbine Health Monitoring," Automan, 340: 62-73, July 2011

4. Lee, J. and Lapira, E., "TPM Gets Smart," Manufacturing Engineering, 146 6: 70-75, June 2011

5. Lee, J. and AbuAli, M., "Coming: Wind Turbines that Never Fail," Machine Design, September, 2010, pp. 42-45

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"

1. Kao, A., Lee, J., Lapira, E., Yang, S., Huang, Y. and Yen, N., "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

2. Lee, J., Lapira, E., Skirtich, T. and Siegel, D., "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, 2011

3. Lee, J., Lapira, E. and Zhao, W., "An Advanced Prognostics and Health Management (PHM) Framework for Wind Turbines: Methodology and Case Study," In Proceedings of 2011 China Wind Power Conference, Beijing, China
4. 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
5. Chen, Y. and Lee, J., "Autonomous Mining for Alarm Correlation Patterns based on Time-shfit Similarity Clustering in Manufacturing System," 2011 IEEE International Conference on Prognostics and Health Management
6. 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
7. Lapira, E., Siegel, D., Zhao, W., Brisset, D., Su, J., Wang, C., Abuali, M. and Lee, J., "A Systematic Framework for Wind Turbine Health Assessment under Dynamic Operating Conditions," 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM), 2011
8. Abuali, M., Zhao, W. and Lee, J., "Systematic Framework for Non-intrusive Prognostics and Health Management (NI-PHM) using Energy Analytics," 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM), 2011

9. 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

10. Siegel, D., Zhao, W., Al-atat, H., Lee, J. and Kumar, M., "A Particle Fitlering Approach to Remaining Useful Life Prediction of Aircraft Engines," MFPT Applied Systems Health Management Conference 2011

11. 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

12. 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.

13. 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.

14. Wang, T.Y., and Lee, J., “On Performance Evaluation of Prognostics Algorithms,” Proceedings of MFPT 2009. April 2009. pp. 219-226.

15. 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.

16. 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.

17. 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.

18. T. Wang, and J. Lee, "The operating regime approach for precision health prognosis", Proceedings: the 62nd meeting of Machinery Failure Prevention Technology. 2008

19. Liao, L., Lee, J., "A Reconfigurable Embedded Prognostics Platform for Machinery Performance Management", Proceedings: the 62nd meeting of Machinery Failure Prevention Technology, 2008
20. David Siegel, Masoud Ghaffari,  Jay Lee, "Failure Prediction of Critical Components in Military Vehicles", Proceedings: the 62nd meeting of Machinery Failure Prevention Technology. 2008
21. Shijin Wang, Hassan Al Atat, Masoud Ghaffari, Jay Lee, Li-feng Xi, "Prognostics of Automotive Sensors: Tools and Case Study", Proceedings: the 62nd meeting of Machinery Failure Prevention Technology, 2008
22. Wang, T., Yu, J., Siegel, D., and Lee, J., “A Similarity-Based Prognostics Approach for Remaining Useful Life Estimation of Engineered Systems,” Proceedings of 2008 Intl. Conference on PHM, 2008
23. Wang, H., Ceglarek,D.. "Generation of Assembly Sequences with k-ary Operations," International Symposium on Assembly and Manufacturing, Ann Arbor, Michigan, USA, July 22-25, 2007. Proceedings of the 2007 IEEE, pp.50-55
24. Wang, H., Lee, J., Ueda T., Adjallah, K.H., and Ghaffari, M., "Engine health assessment and prediction using the group method of data handling and the method of match matrix – autoregressive moving average," Proceeding of 2007 ASME Turbo Expo, May 14-17, 2007, Palais des Congres, Montreal, Canada.
25. Chen, Y., Wang, H., Lee, J., “A new method for feature selection and gear defect detection,” ASME International Manufacturing Science and Engineering Conference 2007, pp. 1-5, Oct. 15-18, 2007, Atlanta, Georgia, USA.
26. Liao, L., Wang, H., and Lee, J., “Bearing health assessment and fault diagnosis using the method of self-organizing map,” Proceedings: the 61st meeting of Machinery Failure Prevention Technology, April 17-19, 2007, Virginia Beach, Virginia, USA.
27. Liao, L., Huang, B., Lee, J., "Logistic Regression-based Machine Health Assessment Method on Application of Smart Machine Tool", Proceedings: International Conference on Smart Machining Systems, 2007
28. Lall, Pradeep, Hande, Madhura, Bhat, Chandan, Islam, Nokibul, Suhling, Jeff, Lee, Jay, "Feature Extraction and Damage-Precursors for Prognostication of Lead-Free Electronics", Proceedings of IEEE Electronic Component and Technology. 2006
29. SODEMANN, A. and Y. LI, Y., Lee, J., "Data-Driven Surge Map Modeling for Centrifugal Air Compressors", Proceedings: International Mechanical Engineering Congress and Exposition (IMEC&E 2006-13103), November 5-10, 2006, Chicago, Illinois, USA.
30. SODEMANN, A. and Y. LI, Y., Lee, J., "Smith Predictor Based Position Control for the Inlet Guide Vane of Centrifugal Air Compressor", (2006). Proceedings: ASME International Mechanical Engineering Congress and Exposition (IMEC&E 2006-13101), November 5-10, 2006, Chicago
31. 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.
32. Yuan, S., Ge, M.,. and Lee, J., Hai Qiu, Xu, Y. S. “Intelligent Diagnostics of Electromechanical Operation Systems,” IEEE International Conference on Robotics and Automation (ICRA), New Orleans, Louisiana, April 26 - May 1, 2004
33. Tong, G.F., Lee, J., “Remote Monitoring and Prognostics of Distributed Material Handling Systems,” International Conference on Intelligent Maintenance Systems, July 15-17, 2004, Arles, France
34. Gang Yu, Hai Qiu, Dragan Djurdjanovic, Jay Lee, “Performance Prediction Using Recurrent Neural Network Modeling with Confidence Bounds”, International Conference on Intelligent Maintenance Systems, July 15-17, 2004, Arles, France
35. Zaifeng Chen, Hai Qiu, Jay Lee, “Web-Enabled E-Maintenance System for CNC Machine Tools”, ASME Japan-USA Symposium on Flexible Automation, Denver , Colorado, July 19 - 21, 2004
36. Heng Zhou, Jay Lee, Zaifeng Chen, Hai Qiu, “Multi-Fault Diagnosis With Bayesian Networks”, ASME Japan-USA Symposium on Flexible Automation, Denver , Colorado, July 19 - 21, 2004
37. Zimin(Max) Yang, Qing(Cindy) Chang, Dragan Djurdjanovic, Jun Ni, Jay Lee, “MAINTENANCE PRIORITY ASSIGNMENT UTILIZING ONLINE PRODUCTION INFORMATION,” Proceedings of 2004 JUSFA, 2004 Japan – USA Symposium on Flexible Automation Denver, Colorado, July 19-21, 2004.
38. Jay Lee, Hai Qiu, Jun Ni, Dragan Djurdjanovic, “INFOTRONICS TECHNOLOGIES AND PREDICTIVE TOOLS FOR NEXT-GENERATION MAINTENANCE SYSTEMS,” International Federation of Automatic Control (IFAC) 11th IFAC Symposium on Information Control Problems in Manufacturing Salvador, Brazil, April, 2004.
39. Lei Zhang, Qixin Cao, Jay Lee, “A Hybrid One-by-One Learning with Incremental Learning Algorithm in CMAC,” Proceedings of the 5th World Congress on Intelligent Control and Automation, June 15-19, 2004, Hangzhou, P.R. China.
40. Yong Lei, Dragan Djurdjanovic, Gary C. Workman, Guoxian Xiao, Jay Lee, 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
41. Yingjie Sun, Qixin Cao, Jay Lee, “Robust Mobile Robot On-the-Fly Localization:using Geometrical Feature Matching Method,” Proceedings of the 5th World Congress on Intelligent Control and Automation, June 15-19, 2004, Hangzhou, P.R. China.
42. Jay Lee and Jun Ni, “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.
43. Wang Xue, Liu Chengliang, and Jay Lee, “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.
44. Gang Yu, Hai Qiu, Dragan Djurdjanovic, Jay Lee, “Performance Prediction Using Recurrent Neural Network Modeling with Confidence Bounds,” Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France.
45. Kun Xie, Chengliang Liu, Jay Lee, Qi xincao, Min Lei, Zhengjin Feng, “The application study of the chaotic encryption in the remote monitoring,” Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France.
46. Liu Chengliang, Wang xue, Mao yubin, Qi xincao, Jay Lee, “Internet Server Controller Based Intelligence Maintenance System for Products,” Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France.
47. Guofeng Tong, Jay Lee, Morris L. Walker, “Remote Monitoring and Prognostics of A Materials Handling Systems,” Proceedings of the Intelligent Maintenance Systems 2004, July 15-27, 2004-Arles, France.
48. Jay Lee, 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.
49. Jianbo Liu, Dragan Djurdjanovic, Jun Ni, Jay lee, “Performance Similarity Based Method for Enhanced Prediction of Manufacturing Process Performance,” AMSE national Mechanical Engineering Congress November 13-19, 2004, Anaheim, California , June, 2004
50. J. Liu, D. Djurdjanovic, J. Ni and J. Lee, “Performance Similarity Based Method for Enhanced Prediction of Manufacturing Process Performance”, in Proceedings of the 2004 ASME International Mechanical Engineering Congress and Exposition (IMECE), Paper No. IMECE2004-62246, 2004.
51. J. Lee, J. Ni, G. Seliger, D. Djurdjanovic, D. Odry, H. Qiu and D. Guido, “Preventive Maintenance of Railroad Bogies in Freight Train Applications”, Invited Paper at the 2004 Railcon – Scientific Expert Conference on Railways, Nis, Serbia, Oct. 22-23, 2004, pp. XIX – XXVI.
52. 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.
53. Lee, J., “Review on Advances on Prognostics Algorithms,” DX-2003 14th International Workshop on Principle of Diagnostics,” Washington, DC, June 2003.
54. 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.
55. 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.
56. J. Ni, J. Lee and D. Djurdjanovic, “Watchdog ­Information Technology for Proactive Product Maintenance and its Implications to Ecological Product Re-Use,” in Proceedings of the Colloquium e-ecological Manufacturing, pp. 101-110, Berlin, 2003.
57. D. Djurdjanovic, J. Lee and J. Ni, “Advances on Infotronics Based Prognostics,” invited talk at the 14th International Workshop on Principles of Diagnostics DX-03, Washington, DC, pp. 31-35, 2003.
58. 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.
59. Koc, M, Lee, J, “Development of Maintenance Program in Food Industry”, Proceeding of Food Automation Conference, February 11-15, 2002, Ft. Lauderdale, FL, USA
60. Lee, J. an Ni, J, “An Introduction of Embedded 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.
61. 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
62. Koc, M., Ni, J, Lee, J “Introduction of e-Manufacturing,” Proceeding of International Conference on Frontiers on Design and Manufacturing, Dalian, China, July 2002
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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.
69. 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.
70. 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.
71. 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.
72. Lee, L and Muammer Koc, “Framework of Intelligent Maintenance Systems,” Proceeding of EcoDesign Conference, Univ. of Tokyo, Japan, Dec. 2001.
73. Lee, J. and Ni, J, “Web-enabled E-Manufacturing,” Proceeding of 6th International Mfg Technology in Hong Kong, Dec. 2001.
74. Koç, M and Lee, J “A System Framework for Web-enabled 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.

Submitted Journal Papers

1. 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," submitted to Mechanical Systems and Signal Processing
2. Chen, Y. and Lee, J., "Data Quality for Manufacturing Prognostics using Spectral Analysis based Randomness Tests," submitted to Computers in Industry, 2011
3. Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L. and Siegel, D., "Prognostics and Health Management Design for Rotary Machinery Systesm -- Reviews, Methodology and Applications," Submitted to Mechanical Systems and Signal Processing, 2010.
4. Siegel, D. Lee, J., Lim, T., "Evaluation of Health Assessment Algorithms for Electro-Mechanical Components," submitted in Mechanical Systems and Signal Processing, 2010.
5. 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," submitted to Mechanical Systems and Signal Processing, in 2010.
6. Lapira E., Brisset, D., Davari, H., Siegel, D. and Lee, J. "Wind turbine performance assessment using multi-regime modeling approach," Submitted to the International Journal of Renewable Energy, 2011