Prediction of Remaining Service Life of Rolling Bearings Based on Convolutional and Bidirectional Long- and Short-Term Memory Neural Networks

Prediction of Remaining Service Life of Rolling Bearings Based on Convolutional and Bidirectional Long- and Short-Term Memory Neural Networks

Predicting the remaining useful life (RUL) of a bearing can prevent sudden downtime of rotating machinery, thereby improving economic efficiency and protecting human safety. Two important steps in RUL prediction are the construction of a health indicator (HI) and the prediction of life. Traditional...

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Bibliographic Details
Main Authors: Zhidan Zhong, Yao Zhao, Aoyu Yang, Haobo Zhang, Zhihui Zhang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Lubricants
Subjects:
wavelet packet transform
kernel principal component analysis
remaining service life of rolling bearings
convolutional neural network
bidirectional long- and short-term memory neural network
Online Access:https://www.mdpi.com/2075-4442/10/8/170

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https://www.mdpi.com/2075-4442/10/8/170

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