An artificial neural network supported stochastic process for degradation modeling and prediction

•Stochastic process is combined with ANN to handle degradation path uncertainty.•The hyper parameters are evaluated by moment estimation offline.•The process parameters are updated by Bayesian inference for online prediction.•Without path information the ANN supported stochastic process is still pra...

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Bibliographic Details
Published in:	Reliability engineering & system safety Vol. 214; p. 107738
Main Authors:	Liu, Di, Wang, Shaoping
Format:	Journal Article
Language:	English
Published:	Barking Elsevier Ltd 01.10.2021 Elsevier BV
Subjects:	Artificial neural network Artificial neural networks Bayesian analysis Degradation Degradation modeling Degradation path uncertainty Degradation prediction Information processing Mathematical models Modelling Neural networks Predictions Process parameters Reliability engineering Statistical inference Stochastic models Stochastic process Stochastic processes Artificial neural network Stochastic process Degradation path uncertainty Degradation prediction Degradation modeling
ISSN:	0951-8320, 1879-0836
Online Access:	Get full text
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