A Novel Method for Fault Diagnosis of Bearings with Small and Imbalanced Data Based on Generative Adversarial Networks

A Novel Method for Fault Diagnosis of Bearings with Small and Imbalanced Data Based on Generative Adversarial Networks

The data-driven intelligent fault diagnosis method of rolling bearings has strict requirements regarding the number and balance of fault samples. However, in practical engineering application scenarios, mechanical equipment is usually in a normal state, and small and imbalanced (S & I) fault sam...

Full description

Bibliographic Details
Main Authors: Qingbin Tong, Feiyu Lu, Ziwei Feng, Qingzhu Wan, Guoping An, Junci Cao, Tao Guo
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
fault diagnosis
small and imbalanced data
ACGAN
spectral normalization
Online Access:https://www.mdpi.com/2076-3417/12/14/7346

Internet

https://www.mdpi.com/2076-3417/12/14/7346

Similar Items