Research on Remaining Useful Life Prediction of Bearings Based on MBCNN-BiLSTM

Research on Remaining Useful Life Prediction of Bearings Based on MBCNN-BiLSTM

For safe maintenance and to reduce the risk of mechanical faults, the remaining useful life (RUL) estimate of bearings is significant. The typical methods of bearings’ RUL prediction suffer from low prediction accuracy because of the difficulty in extracting features. With the aim of improving the a...

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Bibliographic Details
Main Authors: Jian Li, Faguo Huang, Haihua Qin, Jiafang Pan
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
bearing
remaining useful life prediction
deep learning
multi-branch neural networks
bi-directional long- and short-term memory
Online Access:https://www.mdpi.com/2076-3417/13/13/7706

Internet

https://www.mdpi.com/2076-3417/13/13/7706

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