An Intelligent Fault Diagnosis for Rolling Bearing Based on Adversarial Semi-Supervised Method

An Intelligent Fault Diagnosis for Rolling Bearing Based on Adversarial Semi-Supervised Method

Intelligent fault diagnosis of rolling bearing issues have been well addressed with the rapid growth of data scale. However, the performance of most diagnostic algorithms heavily depends on sufficient labeled samples. How to ensure the fault diagnosis accuracy with scarce labeled samples is always a...

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Bibliographic Details
Main Authors:	Yongchao Zhang, Zhaohui Ren, Shihua Zhou
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Intelligent fault diagnosis deep neural network adversarial semi-supervised learning rolling bearing
Online Access:	https://ieeexplore.ieee.org/document/9166486/

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