Bio

Contact Information:

UIC Department of Mechanical & Industrial Engineering (M/C 251), 2039 ERF, 842 W. Taylor Street, Chicago, Illinois 60607

Office: 3027 ERF

Lab Location: 4031 SEL

Lab Website: Intelligent Systems Modeling & Development Laboratory

Ph.D., Industrial Engineering University of Iowa, 1994

M.B.A. University of Northern Iowa, 1990

B.S., Metallurgical Engineering Shanghai University of Technology, 1982

Failure and Reliability Analysis of Manufacturing Systems

Equipment and Process Diagnosis and Prognosis

Statistical Process Control

Agile Manufacturing Systems

Scheduling and Control for Agile Production and Manufacturing

Environmentally Conscious Manufacturing

Book Chapters:

  1. He, D., Bechhoefer, E., Ma, J., and Zhu, J., 2012, “A Particle Filtering Based Approach for Gear Prognostics” in Diagnostics and Prognostics of Engineering Systems: Methods and Techniques, Edited by S. Kadry, IGI Global, New York, NY.
  2. He, D., Bechhoefer, E., Al-Kateb, M., Joshi, P., Imadabathuni, M., 2011, “A Novel Configuration-driven Data Mining Framework for Health and Usage Monitoring Systems”, in New Fundamental Technologies in Data Mining, Edited by Kimito Funatsu, In-Tech, pp. 123 – 142, 2011.
  3. He, D., Wu, S., and Bechhoefer, E., 2009, “A Regime Recognition Algorithm for Helicopter Usage Monitoring”, in Aerospace Technologies Advancements, Edited by Arif, T. T., In-Tech, Vienna, Austria.

Journal Papers:

  1. Van Hecke, B., Qu, Y., and He, D., 2015, “A Novel Acoustic Emission Sensor Based Bearing Fault Diagnostic Technique”, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, DOI: 10.1177/1748006X14558900.
  2. Yoon, J. and He, D., 2015, “Development of an Efficient Prognostic Estimator”,  Journal of Failure Analysis and Prevention, DOI: 10.1007/s11668-014-9902-7.
  3. Zhu J., Yoon J., He D., and Bechhoefer E., 2015, “Online Particle Contaminated Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction for Wind Turbines”, Wind Energy, DOI: 10.1002/we.1746.
  4. Van Hecke, B., He, D., and Qu, Y., 2014, “On the Use of Spectral Averaging of Acoustic Emission Signals for Bearing Fault Diagnostics”, ASME Journal of Vibration and Acoustics, Vol. 136, No. 6, pp. 1-13.
  5. Van Hecke, B., Qu, Y., He, D., and Bechhoefer, E., 2014, “A New Spectral Average Based Bearing Fault Diagnostic Approach”, Journal of Failure Analysis and Prevention, Vol. 14, No. 3, pp. 354 – 362.
  6. Qu, Y., He, D., Yoon, J., Van Hecke, B., Zhu, J, and Bechhoefer, E., 2014, “Gearbox Tooth Cut Fault Diagnostics using Acoustic Emission and Vibration Sensors — A Comparative Study”, Sensors, Vol. 14, No. 1, pp. 1372 – 1393.
  7. Qu, Y., Van Hecke, B., He, D., Yoon, J., Bechhoefer, E., and Zhu, J, 2013, “Gearbox Fault Diagnostics using AE Sensors with Low Sampling Rate”, Journal of Acoustic Emission, Vol. 31, pp. 67 – 90.
  8. Zhu J., Yoon J., He D., Qu Y., and Bechhoefer E., 2013, “Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering”,  International Journal of Prognostics and Health Management, Vol. 4, Special Issue Wind Turbine PHM, pp. 1 – 15.
  9. Qu Y., Bechhoefer E., He D., and Zhu J., 2013, “A New Acoustic Emission Sensor Based Gear Fault Detection Approach”,  International Journal of Prognostics and Health Management, Vol. 4, Special Issue Wind Turbine PHM, pp. 1 – 14.
  10. Zhu J., He D., and Bechhoefer E., 2013, “Survey of Lubrication Oil Condition Monitoring, Diagnostics, Prognostics Techniques and Systems”, Journal of Chemical Science and Technology, Vol. 2, No. 3, pp. 100 – 115.
  11. Dong R., Tan Y., and He D., 2013, “A Non-smooth IMC Method for Mechanical Systems with Backlash”,Journal of Control Theory and Applications, Vol. 11, No. 4, pp. 600 – 607.
  12. Dong R., Tan Y., and He D., 2013, “Non-smooth Identification of Mechanical Systems with Backlash-like Hysteresis”, Journal of Control Theory and Applications, Vol. 11, No. 3, pp. 477 – 482.
  13. He, D., Li, R., and Zhu, J., 2013, “Plastic Bearing Fault Diagnosis Based on a Two-Step Data Mining Approach”, IEEE Transactions on Industrial Electronics, Vol. 60, No. 8, pp. 3429 – 3440.
  14. Zhu J., Yoon J., He D., Qu Y., and Bechhoefer E., 2013, “Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering”,  International Journal of Prognostics and Health Management, Vol. 4, Special Issue Wind Turbine PHM, pp. 1 – 15.
  15. Qu Y., Bechhoefer E., He D., and Zhu J., 2013, “A New Acoustic Emission Sensor Based Gear Fault Detection Approach”,  International Journal of Prognostics and Health Management, Vol. 4, Special Issue Wind Turbine PHM, pp. 1 – 14.
  16. Zhu J., He D., and Bechhoefer E., 2013, “Survey of Lubrication Oil Condition Monitoring, Diagnostics, Prognostics Techniques and Systems”, Journal of Chemical Science and Technology, Vol. 2, No. 3, pp. 100 – 115.
  17. Dong R., Tan Y., and He D., 2013, “A Non-smooth IMC Method for Mechanical Systems with Backlash”,Journal of Control Theory and Applications (to appear).
  18. Dong R., Tan Y., and He D., 2013, “Non-smooth Identification of Mechanical Systems with Backlash-like Hysteresis”, Journal of Control Theory and Applications, Vol. 11, No. 3, pp. 477 – 482.
  19. Li, R., Seckiner, S., He, D., Bechhoefer, E., and Menon, P., 2013. Gear Fault Location Detection for Split Torque Gearbox using AE Sensors. IEEE Transactions on Systems, Man, and Cybernetics–Part C: Applications and Reviews.,(to appear).
  20. Li, R. and He, D., 2012. Rotational Machine Health Monitoring and Fault Detection Using EMD Based Acoustic Emission Feature Quantification. IEEE Transactions on Instrumentation and Measurement., Vol. 61, No. 4, pp. 990 – 1001.
  21. Liu, M, Yu, T., Cui, S., and He, D., 2012. Study on electromagnetic exciting force characteristics and electromagnetic noise of Permanent Magnet DC motor. Applied Mechanics and Materials., Vol. 128-129, pp. 323 – 328.
  22. Bechhoefer, E., Li, R., and He, D., 2012. Quantification of Condition Indicator Performance on A Split Torque Gearbox. Journal of Intelligent Manufacturing., Vol. 23, No. 2, pp. 213 – 220.
  23. He, D., Li, R., and Bechhofer, E., 2012. Stochastic Modeling of Damage Physics for Mechanical Component Prognostics using Condition Indicators. Journal of Intelligent Manufacturing., Vol. 23, No. 2, pp. 221 – 226.
  24. Joshi, P., Imadabathuni, M., He, D., Al-Kateb, M., and Bechhoefer, E., 2012. Application of the Automated Condition Based Maintenance Checking System for Aircrafts. Journal of Intelligent Manufacturing., Vol. 23, No. 2, pp. 277 – 288.
  25. Li, R., Sopon, P., and He, D., 2012. Fault Features Extraction for Bearing Prognostics. Journal of Intelligent Manufacturing., Vol. 23, No. 2, pp. 313 – 321.
  26. He, D., Li, R., Zhu, J. and Zade, M., 2011. A Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors. IEEE Transactions on Neural Networks., Vol. 22, No. 12, pp. 2022 – 2031.
  27. Dalal, M., Ma, J., He, D., 2011. Lithium-ion Battery Life Prognostic Health Management System using Particle Filtering Framework. Proceedings of the Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability., Vol. 225, No. 1, pp. 81 – 90.
  28. Li, R. and He, D., 2010. Mechanical Transmission System Multiple Faults Diagnosis using Hilbert-Huang Transform. International Journal for Manufacturing Science & Technology., Vol. 11, No. 2, pp. 33 – 42.
  29. Dong, M.,Yang, D. Kuang, Y., He, D., Erdal, S., and Kenski, D., 2008. PM2.5 Concentration Prediction using Hidden Semi-Markov Model-based Times Series Data Mining. Expert Systems with Applications., Vol. 36, No. 5, pp. 9046 – 9055.
  30. Wu, S. and He, D., 2008. Shaft Diagnostics and Prognostics Development and Evaluation using Damaged Dynamic Simulation. Proceedings of the Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability., Vol. 222, No. 2, pp. 219 – 233.
  31. Dong, M. and He, D., 2007. Hidden Semi-Markov Model-based Methodology for Multi-sensor Equipment Health Diagnosis and Prognosis. European Journal of Operational Research., Vol. 178, No. 3, pp. 858 – 878.
  32. Dong, M. and He, D., 2007. A Segmental Hidden Semi-Markov Model (HSMM)-based Diagnostics and Prognostics Framework and Methodology. Mechanical Systems and Signal Processing., Vol. 21, No. 5, pp. 2248 – 2266.
  33. Banerjee, P., Avila, R., He, D., Wu, S., and Bechhoefer, E., 2007. Discriminant Analysis based Prognostics of Avionic Systems. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews., Vol. 37, No. 6, p 1318 – 1326.
  34. Dong, M., He, D., Banerjee, P., and Keller, J., 2006. Equipment Health Diagnosis and Prognosis Using Hidden Semi-Markov Models. International Journal of Advanced Manufacturing Technology., Vol. 30, No. 7 – 8, pp. 738 – 749.
  35. He, D. and Grigoryan, A., 2006. Joint Statistical Design of Double Sampling Xbar and s Charts. European Journal of Operational Research., Vol. 168, pp. 122- 142, 2006.
  36. He, D. and Grigoryan, A., 2005. Multivariate Multiple Sampling Charts. IIE Transactions., Vol. 37, No. 6, pp. 509 – 521.
  37. Grigoryan, A. and He, D., 2005. Multivariate Double Sampling |S| Charts for Controlling Process Variability.International Journal of Production Research., Vol. 43, No. 4, pp. 715 – 730.
  38. Pawelski, P. and He, D., 2004. Vibration based Pump Health Monitoring. SAE Transactions Journal of Commercial Vehicles., Vol. 2, pp. 636 – 639.
  39. Dong, M. and He, D., 2004. Hidden Semi-Markov Models for Machinery Health Diagnosis and Prognosis.Transactions of NAMRI/SME., Vol. 32, pp. 199 – 206.
  40. Adamyan, A. and He, D., 2004. Systems Failure and Safety Assessment using Integrated Petri Net Modeling and Fault Tree Analysis Approaches. International Journal for Manufacturing Science and Technology. , Vol. 2, pp. 10 – 37
  41. Adamyan, A. and He, D., 2004. Solving the n-job 3-stage Flexible Flowshop Scheduling Problem using Agent-based Approach. International Journal of Production Research. , Vol. 42, No. 4, pp. 777 – 799
  42. Adamyan, A. and He, D., 2003. Sequential Failure Analysis using Counters of Petri Net Models. IEEE Transactions on Systems, Man, and Cybernetics – Part A, Vol. 33, No. 1, pp. 1 – 11
  43. He, D. and Grigoryan, A., 2003 An Improved Double Sampling s Chart. International Journal of Production Research. , Vol. 41, No. 12, pp. 2663 – 2679
  44. He, D. and Zhang, Q., 2003. Equipment Health Diagnosis using Wavelets. International Journal for Manufacturing Science and Technology, 2003.
  45. He, D. and Babayan, A., 2002. Scheduling manufacturing systems for delayed product differentiation in agile manufacturing. International Journal of Production Research, Vol. 40, No. 11, pp. 2461 – 2481.
  46. Adamyan, A. and He, D., 2002. Analysis of sequential failures for assessment of reliability and safety of manufacturing systems. Reliability Engineering and System Safety, Vol. 76, No. 3, pp. 227 – 236.
  47. He, D. and Grigoryan, A., 2002. Construction of double sampling s control charts for agile manufacturing.Quality & Reliability Engineering International, Vol. 18, No. 4, pp. 343 – 355.
  48. He, D., Grigoryan, A., and Sigh, M., 2002. Design of double and triple-sampling x-bar control charts using genetic algorithms. International Journal of Production Research, Vol. 40, No. 6, pp. 1387 – 1404.
  49. He, D., Babayan, A., and Kusiak, A., 2001. Scheduling manufacturing systems in an agile environment.Robotics and Computer Integrated Manufacturing, Vol. 17, No. 1, pp. 87 – 97.
  50. Babayan, A., He, D., and Marinescu, I., 2000. Multidisciplinary design selection with manufacturing systems performance considerations. International Journal of Industrial Engineering, Vol. 7, No. 3, pp. 202 – 212.
  51. He, D. W., Strege, B., Tolle, H., and Kusiak, A., 2000. Decomposition in Automatic Generation of Petri Nets for Manufacturing Systems Control and Scheduling. International Journal of Production Research, Vol. 38, No. 6, pp. 1437 – 1457.
  52. Adamyan, A., He, D., Marinescu, I., and  Coma, R., 1999. Multi-objective optimization of grinding process with two approaches: Pareto set with genetic algorithm and multi-attribute utility theory. International Journal for Manufacturing Science and Production, Vol. 1, No. 2, pp. 55 – 65.

Conference Papers: 

  1. Yoon, J., He, D., Van Hecke, B., Nostrand, T., Zhu, J., and Bechhoefer, E., 2014, “Planetary Gearbox Fault Diagnosis Using a Single Piezoelectric Strain Sensor”, Proceedings of the 2014 Prognostics and Health Management (PHM) Society Conference, Fort Worth, TX, Sept. 29 – Oct. 2.
  2. Yoon, J., He, D., and Van Hecke, B., 2014, “A PHM Approach to Additive Manufacturing Equipment Health Monitoring, Fault Diagnosis, and Quality Control”, Proceedings of the 2014 Prognostics and Health Management (PHM) Society Conference, Fort Worth, TX, Sept. 29 – Oct. 2.
  3. Qu, Y., Van Hecke, B., He, D., Yoon, J., Bechhoefer, E., Zhu, J., 2014, “A Study on Comparing Acoustic Emission and Vibration Sensors for Gearbox Fault Diagnostics ”, Proceedings of the 2014 Conference of the Society for Machinery Failure Prevention Technology (MFPT), Virginia Beach, VA, May 20 – 22. (Won the Best Student Paper Award)
  4. Van Hecke, B., Qu, Y., and He, D., 2014, “A New Acoustic Emission Sensor Based Bearing Fault Diagnostic Technique”, Proceedings of the 2014 Conference of the Society for Machinery Failure Prevention Technology (MFPT), Virginia Beach, VA, May 20 – 22.
  5. Yoon, J., He, D., and Dempsey, P., 2014, “An Efficient Prognostic Estimator”, Proceedings of the 2014 Conference of the Society for Machinery Failure Prevention Technology (MFPT), Virginia Beach, VA, May 20 – 22.
  6. Van Hecke, B., Bechhoefer, E., Qu, Y., and He, D., 2014, “Bearing Fault Diagnosis Using A Spectral Average Based Approach”, Proceedings of the 2014 American Helicopter Society (AHS) Forum, Montreal, Canada, May 20 – 22.
  7. Bechhoefer, E., Van Hecke, B., and He, D., 2013, “Processing for Improved Spectral Analysis”,Proceedings of the 2013 Prognostics and Health Management (PHM) Conference, New Orleans, LA, Oct. 14 – 17.
  8. Qu, Y., Zhu, J., Bechhoefer, E., and He, D., 2013, “Gear Fault Detection using Time Synchronous Average based Acoustic Emission Condition Indicators”, Proceedings of the 2013 American Helicopter Society (AHS) Forum, Phoenix, AZ, May 21 – 23.
  9. Zhu, J., Qiu, B., Bechhoefer, E., and He, D., 2013, “Development and Validation of Lubrication Oil Particle Contamination Models”, Proceedings of the 2013 Conference of the Society for Machinery Failure Prevention Technology (MFPT), Cleveland, OH, May 13 – 17. (Won the Second Prize of the Best Student Paper Award).
  10. Qu, Y., Bechhoefer, E., and He, D., 2013, “Analog Signal Processing to Improve Acoustic Emissions Sensing”, Proceedings of the 2013 Conference of the Society for Machinery Failure Prevention Technology (MFPT), Cleveland, OH, May 13 – 17.
  11. Bechhoefer, E., Qu, Y., and He, D., 2013, “Gear Fault Detection using Acoustic Emission Spectrum Kurtosis”, Proceedings of the 2013 Conference of the Society for Machinery Failure Prevention Technology (MFPT), Cleveland, OH, May 13 – 17.
  12. Qu, Y., Qiu, B., Zhu, J., He, D., and Bechhoefer, E., 2013, “Time Synchronous Average Based Acoustic Emission Signal Analysis on Gear Fault Detection”, Proceedings 2013 IEEE International Conference on Prognostics and Health Management (PHM), Gaithersburg, MD, June 24 – 27. (Won the Best Academia Paper Award).
  13. Zhu, J., Yoon, J., Qiu, B., He, D., and Bechhoefer, E., 2013, “Online Condition Monitoring and Remaining Useful Life Prediction of Particle Contaminated Lublication Oil”, Proceedings 2013 IEEE International Conference on Prognostics and Health Management (PHM), Gaithersburg, MD, June 24 – 27.
  14. Yoon, J., Qiu, B., and He, D., 2013, “Full Ceramic Bearing Fault Diagnosis using LAMSTAR Neural Network”, Proceedings 2013 IEEE International Conference on Prognostics and Health Management (PHM), Gaithersburg, MD, June 24 – 27.
  15. Li, R., He, D., and Zhu, J., 2012, “Investigation on Full Ceramic Bearing Fault Diagnostics Using Vibration and AE Sensors”, Proceedings 2012 IEEE International Conference on Prognostics and Health Management (PHM), Denver, CO, June 18 – 21.
  16. Bechhoefer, E. and He, D., 2012, “A Process for Data Driven Prognostics”, Proceedings of the 2012 Conference of the Society for Machinery Failure Prevention Technology (MFPT), pp. pp. 193 – 212, Dayton, OH, April 24 – 26.
  17. Zhu, J., He, D., Qu, Y., and Bechhoefer, E., 2012, “Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering”, Proceedings on American Wind Energy Association (AWEA) WINDPOWER 2012 Conference, Atlanta, GA, June 3 – 6.
  18. Zhu, J, He, D., and Bechhoefer, E., 2012, “Survey of Lubrication Oil Condition Monitoring, Diagnostics, and Prognostics Techniques”, Proceedings of the 2012 Conference of the Society for Machinery Failure Prevention Technology (MFPT), pp. pp. 193 – 212, Dayton, OH, April 24 – 26.
  19. Li, R., He, D., and Menon, P., 2012, “A Data Mining Based Approach for Gear Fault Diagnostics using Vibration Sensors”, Proceedings of the 2012 American Helicopter Society (AHS) Forum, Fort Worth, TX, May 1 – 3.
  20. He, D., Bechhoefer, E.,  Dempsey, P., and Ma, J., 2012, “An Integrated Approach for Gear Health Prognostics”, Proceedings of the 2012 American Helicopter Society (AHS) Forum, Fort Worth, TX, May 1 – 3.
  21. Bechhoefer, E., He, D., and Dempsey, P., 2011, “Gear Health Threshold Setting Based On a Probability of False Alarm”, Proceedings of the 2011 Annual Conference of the Prognostics and Health Management Society, Montreal, Quebec, Canda, September 25 – 29.
  22. He, D., Bechhoefer, E., Ma, J., and Li, R., 2011, “Particle Filtering Based Gear Prognostics Using One-Dimensional Health Index”, Proceedings of the 2011 Annual Conference of the Prognostics and Health Management Society, Montreal, Quebec, Canda, September 25 – 29.
  23. He, D., Li, R., Zade, M., Zhu, J., 2011, “Development and Evaluation of AE based Condition Indicators for Full Ceramic Bearing Fault Diagnosis”, Proceedings of the 2011 IEEE PHM Conference, Denver, CO, June 21 – 23.
  24. He, D. and Li, R., 2011, “A New Vibration Signal Processing Method for Gearbox Fault Detection”,Proceedings of the 2011 IEEE PHM Conference, Denver, CO, June 21 – 23.
  25. He, D., Li, R., Zade, M., Zhu, J., 2011, “An Investigation on Full Ceramic Bearing Fault Diagnosis  using AE Sensors”, Proceedings of the 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM2011), Stavanger, Norway, May 30 – June 1.
  26. Li, R. and He, D., 2011, “Hilbert-Huang Transform Based Acoustic Emission Signal Quantification for Rotational Machine Health Monitoring and Diagnostics”, Proceedings of The 2011 Conference of the Society for Machinery Failure Prevention Technology, Virginia Beach, VA, May 10 – 13.
  27. Ma, J. and He, D., 2011, “An Integrated Approach for Hybrid Ceramic Bearing Life Prognostics”,Proceedings of The 2011 Conference of the Society for Machinery Failure Prevention Technology, Virginia Beach, VA, May 10 – 13.
  28. He, D. and Li, R., 2011, “Using HHT Based Acoustic Emission Feature Quantification for Rotating Machine Fault Detection”, Proceedings of the 2011 American Helicopter Society (AHS) International Forum, Virginia Beach, VA, May 2 – 5.
  29. Li, R. and He, D., 2011, “Development of an Advanced Narrow-band Interference Cancellation Method for Gearbox Fault Detection”, Proceedings of the 2011 American Helicopter Society (AHS) International Forum, Virginia Beach, VA, May 2 – 5.
  30. Manon, P. and He, D., 2011, “Quantification of Condition Indicator Performance on a Split Torque Gearbox using an Advanced Signal Processing Technique”, Proceedings of the 2011 American Helicopter Society (AHS) Condition-Based Maintenance Specialists’ Meeting, Huntsville, AL, February 07 – 09.
  31. Ma, J. and He, D., 2010, “Development of Integrated Prognostics: An Application to Hybrid Ceramic Bearing Life Prediction”, Proceedings of the 2010 Second IITA International Joint Conference on Artificial Intelligence, Shanghai, China, December 25 – 26.
  32. He, D., Menon, P., Li, R., Seckiner, S., and Bechhoefer, E., 2010, “Gear Fault Location Detection for Split Torque Gearbox using AE Sensors”, Proceedings of the 2010 Annual Conference of the Prognostics and Health Management Society, Portland, OR, October 10 – 16.
  33. Bechhoefer, E., Clark, S., and He, D., 2010, “A State Space Model for Vibration Based Prognostics”,Proceedings of the 2010 Annual Conference of the Prognostics and Health Management Society, Portland, OR, October 10 – 16.
  34. He, D., Li, R., and Bechhofer, E., 2010, “Split Torque Gearbox Fault Diagnosis using AE Sensors”Proceedings of the 2010 Industrial Engineering Research Conference, Cancun, Mexico June 5 – 9.
  35. He, D., Panyala, A., Li, R., and Ma, J., 2010, “The Use of Vibration Signals for Ceramic Bearing Prognostics”, Proceedings of the 2010 Industrial Engineering Research Conference, Cancun, Mexico June 5 – 9.
  36. He, D., Li, R., and Bechhofer, E., 2010, “Split Torque Type Gearbox Fault Detection using Acoustic Emission and Vibration Sensors”, Proceedings of the 2010 IEEE International Conference on Networking, Sensing and Control, Chicago, IL, April 10 – 12.
  37. Li, R., Ma, J., Panyala, A., and He, D., 2010, “Hybrid Ceramic Bearing Prognostics using Particle Filtering”,Proceedings of The 2010 Conference of the Society for Machinery Failure Prevention Technology, Huntsville, AL, April 13 – 15, pp. 57 – 69.
  38. Jayaraman, V. and He, D., 2010, “Crack Fault Diagnosis in Drive Shafts using Inverse Method”,Proceedings of The 2010 Conference of the Society for Machinery Failure Prevention Technology, Huntsville, AL, April 13 – 15, pp. 181 – 198.
  39. Li, R., He, D., and Bechhoefer, E., 2010, “Gear Fault Location Detection for Split Torque Gearbox using AE Sensors”, Proceedings of the 2010 American Helicopter Society (AHS) International Forum, Phoenix, AZ, May 10 – 13.
  40. Bechhoefer, E., Menon, P., and He, D., 2010, “A Control Theory Approach to Machinery Health Prognostics”, Proceedings of the 2010 American Helicopter Society (AHS) International Forum, Phoenix, AZ, May 10 – 13.