Deep Residual Network for Identifying Bearing Fault Location and Fault Severity Concurrently

Deep Residual Network for Identifying Bearing Fault Location and Fault Severity Concurrently

Fault diagnosis is composed of two tasks, i.e., fault location detection and fault severity identification, which are both significant to equipment maintenance. The former can indicate where the defective component lies in, and the latter provides evidence on the residual life of the component. Howe...

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Bibliographic Details
Main Authors:	Longting Chen, Guanghua Xu, Tangfei Tao, Qingqiang Wu
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Bearing fault diagnosis deep neural network multi-task learning visualization of deep neural network
Online Access:	https://ieeexplore.ieee.org/document/9195861/

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