Bearing Life Prediction Method Based on Parallel Multichannel Recurrent Convolutional Neural Network

Bearing Life Prediction Method Based on Parallel Multichannel Recurrent Convolutional Neural Network

To extract the time-series characteristics of the original bearing signals and predict the remaining useful life (RUL) more effectively, a parallel multichannel recurrent convolutional neural network (PMCRCNN) is proposed for the prediction of RUL. Firstly, the time domain, frequency domain, and tim...

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Bibliographic Details
Main Authors:	Jianmin Zhou, Sen Gao, Jiahui Li, Wenhao Xiong
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2021/6142975
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