Journal
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
Volume 29, Issue 2, Pages 429-435Publisher
SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT
DOI: 10.21629/JSEE.2018.02.22
Keywords
remaining useful life (RUL); multi-degradation system; public noise; nonlinear degradation process
Categories
Funding
- National Natural Science Foundation of China [61290324, 61473164, 61490701]
- Research Fund for the Taishan Scholar Project of Shandong Province of China [LZB2015-162]
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To predict the remaining useful life (RUL) for a class of nonlinear multi-degradation systems, a method is presented. In the real industrial processes, systems are usually composed by several parts or components, and these parts or components are working in the same environment, thus the degradations of these parts or components will be influenced by common factors. To describe such a phenomenon in degradations, a multi-degradation model with public noise is proposed. To identify the degradation states and the unknown parameters, an iterative estimation method is proposed by using the Kalman filter and the expectation maximization (EM) algorithm. Next, with known thresholds, the RUL of each degradation can be predicted by using the first hitting time (FHT). In addition, the RUL of the whole system can be obtained by a Copula function. Finally, a practical case is used to demonstrate the method proposed.
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