Research on the Initial Fault Prediction Method of Rolling Bearings Based on DCAE-TCN Transfer Learning

Research on the Initial Fault Prediction Method of Rolling Bearings Based on DCAE-TCN Transfer Learning

In actual working conditions, the initial faults of rolling bearings are difficult to effectively predict due to the lack of evolution knowledge, weak fault information, and strong noise interference. In this paper, a rolling bearing initial fault prediction model that is based on transfer learning...

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Bibliographic Details
Main Authors:	Huaitao Shi, Yajun Shang, Xiaochen Zhang, Yinghan Tang
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2021/5587756
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