Boosting RUL Prediction Using a Hybrid Deep CNN-BLSTM Architecture

Reliable estimation of remaining useful life (RUL) is a critical challenge in prognostics and health management (PHM), enabling the industry to better schedule future maintenance operations and reduce overhead costs and time linked to unnecessary maintenance operations. We notice that some efficient...

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Veröffentlicht in:	Automatic control and computer sciences 2022-08, Vol.56 (4), p.300-310
Hauptverfasser:	Remadna, I., Terrissa, S. L., Sayah, M., Ayad, S., Zerhouni, N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science Control Structures and Microprogramming Deep learning Feature extraction Machine learning Maintenance
Online-Zugang:	Volltext
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