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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Bibliographic Details

Published in:	Sensors
Main Authors:	Haitao Wang, Jie Yang, Lichen Shi, Ruihua Wang
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Subjects:	remaining useful life deep learning temporal convolutional network adaptive shrinkage processing
Online Access:	https://www.mdpi.com/1424-8220/22/23/9088