Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review

Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review

A small sample size and unbalanced sample distribution are two main problems when data-driven methods are applied for fault diagnosis in practical engineering. Technically, sample generation and data augmentation have proven to be effective methods to solve this problem. The generative adversarial n...

Full description

Bibliographic Details
Main Authors: Diwang Ruan, Xuran Chen, Clemens Gühmann, Jianping Yan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Lubricants
Subjects:
generative adversarial network (GAN)
bearing fault diagnosis
data augmentation
loss function modification
GAN structure improvement
GAN review
Online Access:https://www.mdpi.com/2075-4442/11/2/74

Internet

https://www.mdpi.com/2075-4442/11/2/74

Similar Items