Remaining Useful Life Prediction Based on Adaptive SHRINKAGE Processing and Temporal Convolutional Network

The remaining useful life (RUL) prediction is important for improving the safety, supportability, maintainability, and reliability of modern industrial equipment. The traditional data-driven rolling bearing RUL prediction methods require a substantial amount of prior knowledge to extract degraded fe...

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Detalhes bibliográficos

Principais autores:	Haitao Wang, Jie Yang, Lichen Shi, Ruihua Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
coleção:	Sensors
Assuntos:	remaining useful life deep learning temporal convolutional network adaptive shrinkage processing
Acesso em linha:	https://www.mdpi.com/1424-8220/22/23/9088
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