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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers & industrial engineering Jg. 151; S. 106983
Hauptverfasser:	Cai, Baoping, Fan, Hongyan, Shao, Xiaoyan, Liu, Yonghong, Liu, Guijie, Liu, Zengkai, Ji, Renjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2021
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!