Multivariate State Estimation Technique for remaining useful life prediction of electronic products

AAAI Fall Symposium - Technical Report

Volumn , Issue , 2007, Pages 26-32

  Cheng, Shunfeng ^a   Pecht, Michael ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CASE STUDIES; DAMAGE PREDICTIONS; ELECTRONIC PRODUCTS; REMAINING USEFUL LIFE PREDICTIONS;

ARTIFICIAL INTELLIGENCE; ELECTRONICS INDUSTRY; FATIGUE OF MATERIALS; LIFE CYCLE; PAPER; STATE ESTIMATION;

FORECASTING;

EID: 58349109691     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Vichare, N and Pecht, M. 2006. Prognostics and Health Management of Electronics. IEEE Transactions on Components and Packaging Technologies 29(1): 222-229.
2. Mishra, S., Pecht, M., Smith, T., McNee, I. and Harris, R., 2002. Remaining Life Prediction of Electronic Products Using Life Consumption Monitoring Approach. In Proceedings of the European Microelectronics Packaging and Interconnection Symposium, 136-142. Cracow.
3. Jie Gu, Vichare, N. Tracy, T. Pecht, M. 2007. Prognostics Implementation Methods for Electronics. In Reliability and Maintainability Symposium, 101-106. Orlando, FL: IEEE Press.
4. Cassidy, K., Gross, K. C., and Malekpour, A. 2002. Advanced Pattern Recognition for Detection of Complex Software Aging Phenomena in Online Transaction Processing Servers. In Proceedings of the International Conference on Dependable Systems and Networks. 478-482. Washington, DC: IEEE Press
5. Whisnant, K., Gross, K., and Lingurovska, N. 2005. Proactive Fault Monitoring in enterprise Servers. In Proceedings of the IEEE International Multi-conference on Computer Science and Computer Engineering, 3-10. Las Vegas, NV: IEEE Press.
6. Zavaljevskl, N. and Gross, K. C., 2000. Sensor Fault Detection in Nuclear Power Plants Using Multivariate State Estimation Technique and Support Vector Machines. In Third International Conference of the Yugoslav Nuclear Society, 1-8. Belgrade, Yugoslavia: Printed in USA by Argonne National Laboratory.
7. S. Wegerich, 2004. Similarity Based Modeling of Time Synchronous Averaged Vibration Signals for Machinery Health Monitoring. In Proceedings of IEEE Aerospace Conference, 6, 3654-3662. Montana: IEEE Press.
8. Kenny C. Gross, Wendy Lu, 2002. Early Detection of Signal and Process Anomalies in Enterprise Computing Systems. In Proceedings of the 2002 IEEE International Conference on Machine Learning and Applications, 204-210. Las Vegas, NV: IEEE Press.
9. Gross, K. C. and Mishra, K., 2004. Improved Methods for Early Fault Detection in Enterprise Computing Servers Using SAS Tools. In Proceedings of SAS® Users Group International Conference.29. Paper 160, 1-9. Montreal, Canada: SAS® Users Group International Conference.
10. Singer, R. M., Gross, K. C., King, R. W. and Wegerich, S. W., 1995. A Pattern-recognition-based, Fault-tolerant Monitoring and Diagnostic Technique. In 7th Symposium on Nuclear Reactor Surveillance and Diagnostics (SMORN VII), Avignon, 414-422. France: Printed in USA by Argonne National Laboratory.
11. Vaidyanathan, K. and Gross, K., 2004. Proactive Detection of Software Anomalies through MSET. In Proceedings of the IEEE Workshop on Predictive Software Models. Chicago, USA: IEEE Press.
12. Herzog, R., Wegerich, S., Gross, K., 1998. MSET Modeling of Crystal River-3 Venturi Flow Meters. In ASMA/JSME/SFEN 6th International Conference of Nuclear Engineering. 1-14. San Diego: Printed in USA by ASME.
13. Wegerich, S, R. Singer, J. Herzog, and A. Wilks, 2001. Challenges Facing Equipment Condition Monitoring Systems. In Proc. Maintenance and Reliability Conference, Gatlinburg, TN: Printed in USA by SmartSignal Corporation.