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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Reliability engineering & system safety Jg. 214; S. 107738
Hauptverfasser:	Liu, Di, Wang, Shaoping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Barking Elsevier Ltd 01.10.2021 Elsevier BV
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!