An Improved Fault Diagnosis Using 1D-Convolutional Neural Network Model

An Improved Fault Diagnosis Using 1D-Convolutional Neural Network Model

The diagnosis of a rolling bearing for monitoring its status is critical in maintaining industrial equipment while using rolling bearings. The traditional method of diagnosing faults of the rolling bearing has low identification accuracy, which needs artificial feature extraction in order to enhance...

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Bibliographic Details
Main Authors: Chih-Cheng Chen, Zhen Liu, Guangsong Yang, Chia-Chun Wu, Qiubo Ye
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Electronics
Subjects:
1D-CNN
fault diagnosis
rolling bearing
vibration signal
single load
different loads
Online Access:https://www.mdpi.com/2079-9292/10/1/59

Internet

https://www.mdpi.com/2079-9292/10/1/59

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