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