Collaborative Online RUL Prediction of Multiple Assets With Analytically Recursive Bayesian Inference

By using in situ health information, many existing studies for online remaining useful life (RUL) prediction adopt a stochastic process-based degradation model and a computation-intensive parameter estimation method for RUL prediction of a single operating asset. Nevertheless, it is common that ther...

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Veröffentlicht in:	IEEE transactions on reliability Jg. 73; H. 1; S. 506 - 520
Hauptverfasser:	Peng, Weiwen, Chen, Yuan, Xu, Ancha, Ye, Zhi-Sheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bayes methods Bayesian analysis Bayesian method Collaboration collaborative learning Computational modeling Data models Degradation Federated learning Mathematical models online inference Parameter estimation Predictive models remaining useful life (RUL) Statistical inference Stochastic processes Wiener process
ISSN:	0018-9529, 1558-1721
Online-Zugang:	Volltext
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