AAAI Fall Symposium on Artificial Intelligence for Prognostics, 2007
Multivariate State Estimation Technique for Remaining Useful Life Prediction of Electronic Products
Shunfeng Cheng
Michael Pecht
Prognostics Health Management Group
Center for Advanced Life Cycle Engineering (CALCE)
Department of Mechanical Engineering
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.