Rolling Bearing Fault Diagnosis Based on Depth-Wise Separable Convolutions with Multi-Sensor Data Weighted Fusion

Rolling Bearing Fault Diagnosis Based on Depth-Wise Separable Convolutions with Multi-Sensor Data Weighted Fusion

Given the problems of low accuracy and complex process steps currently faced by the field of fault diagnosis, a fault diagnosis method based on multi-sensor data weighted fusion (MSDWF) combined with depth-wise separable convolutions (DWSC) is proposed. The method takes into account the temporal and...

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Bibliographic Details
Main Authors:	Tong Wang, Xin Xu, Hongxia Pan, Xuefang Chang, Taotao Yuan, Xu Zhang, Hongzhao Xu
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Applied Sciences
Subjects:	bearing fault diagnosis depth-wise separable convolutions multi-sensor data fusion data weighting
Online Access:	https://www.mdpi.com/2076-3417/12/15/7640

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