Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study

•A remaining useful life re-prediction method based on Wiener process is proposed.•Current and historical data are used for re-prediction model construction.•DBNs and EM algorithm are combined to solve the uncertainty caused by missing data. With the continuous improvement of the complexity and comp...

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Bibliographic Details

Published in:	Computers & industrial engineering Vol. 151; p. 106983
Main Authors:	Cai, Baoping, Fan, Hongyan, Shao, Xiaoyan, Liu, Yonghong, Liu, Guijie, Liu, Zengkai, Ji, Renjie
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2021
Subjects:	Dynamic Bayesian networks Expectation Maximization algorithm Remaining useful life Subsea Christmas tree system Wiener process Wiener process Subsea Christmas tree system Remaining useful life Expectation Maximization algorithm Dynamic Bayesian networks
ISSN:	0360-8352, 1879-0550
Online Access:	Get full text
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