Joint autoencoder-regressor deep neural network for remaining useful life prediction

•We introduce a joint autoencoder and regressor architecture for remaining useful life prediction, and demonstrate the effectiveness of this model on two prognostics benchmarks.•We also propose a new fault detection-based approach to modeling remaining useful life degradation and RUL labeling as an...

Full description

Bibliographic Details

Published in:	Engineering science and technology, an international journal Vol. 41; p. 101409
Main Authors:	İnce, Kürşat, Genc, Yakup
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2023 Elsevier
Subjects:	C-MAPSS Deep learning Fault detection Predictive maintenance Remaining useful life Deep learning Fault detection Remaining useful life C-MAPSS Predictive maintenance
ISSN:	2215-0986, 2215-0986
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!