Remaining Useful Life Prediction of Rolling Bearings Using GRU-DeepAR with Adaptive Failure Threshold

Remaining Useful Life Prediction of Rolling Bearings Using GRU-DeepAR with Adaptive Failure Threshold

Aiming at the problem that a single neural network model has difficulty in accurately predicting trends of the remaining useful life of a rolling bearing, a method of predicting the remaining useful life of rolling bearings using a gated recurrent unit-deep autoregressive model (GRU-DeepAR) with an...

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Bibliographic Details
Main Authors: Jiahui Li, Zhihai Wang, Xiaoqin Liu, Zhengjiang Feng
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
rolling bearing
life prediction
deep learning
GRU
DeepAR
Online Access:https://www.mdpi.com/1424-8220/23/3/1144

Internet

https://www.mdpi.com/1424-8220/23/3/1144

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