Learning the health index of complex systems using dynamic conditional variational autoencoders

Recent advances in sensing technologies have enabled engineers to collect big data to predict the remaining useful life (RUL) of complex systems. Current modeling techniques for RUL predictions are usually not able to quantify the degradation behavior of a complex system through a health index. Alth...

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Bibliographic Details

Published in:	Reliability engineering & system safety Vol. 216; p. 108004
Main Authors:	Wei, Yupeng, Wu, Dazhong, Terpenny, Janis
Format:	Journal Article
Language:	English
Published:	Barking Elsevier Ltd 01.12.2021 Elsevier BV
Subjects:	Complex systems Data fusion Deep learning Degradation Degradation modeling Multiple sensors Reliability engineering Remaining useful life Deep learning Data fusion Multiple sensors Remaining useful life Degradation modeling
ISSN:	0951-8320, 1879-0836
Online Access:	Get full text
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