期刊
IEEE TRANSACTIONS ON RELIABILITY
卷 62, 期 1, 页码 183-198出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TR.2013.2241232
关键词
Anticipated performance; latent degradation; multiple sensors; remaining useful life prediction
类别
资金
- National 973 Project [2010CB731800, 2009CB32602]
- NSFC [61028010, 61021063, 61210012]
For a class of multi-sensor dynamic systems subject to latent degradation, the remaining useful life prediction with anticipated performance is mainly considered in this paper. The hidden degradation process is first identified recursively by adopting distributed fusion filtering based on observations from multiple sensors. Then the remaining useful life distribution is predicted on the basis of converged degradation state and parameter updating during the operating process. The uncertainty index is aanalyzed to quantitatively evaluate the benefits of increasing multi-sensor information for predicted remaining useful life, and the sensor selection is also discussed for satisfying the anticipated performance such as variance. Our main results are verified by a numerical example, and a practical case study of the milling machine experiment.
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