AAAI Fall Symposium on Artificial Intelligence for Prognostics, pp. 26-32, Arlington, VA, Nov, 2007

Multivariate State Estimation Technique for Remaining Useful Life Prediction of Electronic Products

S. Cheng and M. Pecht
CALCE EPSC
University of Maryland
College Park, MD 20742

Abstract:

This paper investigates the use of Multivariate State Estimation Techniques as input in predicting the remaining useful life prediction of electronic products. A prognostics approach combining the Multivariate State Estimation Technique with life cycle damage prediction is then presented, along with a case study. The challenges of the approach are also discussed.

Complete article is available to CALCE Consortium Members.

 



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