Research on a Bearing Fault Diagnosis Method Based on an Improved Wasserstein Generative Adversarial Network

Research on a Bearing Fault Diagnosis Method Based on an Improved Wasserstein Generative Adversarial Network

In this paper, an advanced Wasserstein generative adversarial network (WGAN)-based bearing fault diagnosis approach is proposed to bolster the diagnostic efficacy of conventional WGANs and tackle the challenge of selecting optimal hyperparameters while reducing the reliance on sample labeling. Raw v...

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Bibliographic Details
Main Authors: Chengshun Zhu, Wei Lin, Hongji Zhang, Youren Cao, Qiming Fan, Hui Zhang
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Machines
Subjects:
Bayesian optimization algorithms
fault diagnosis
WGAN
Online Access:https://www.mdpi.com/2075-1702/12/8/587

Internet

https://www.mdpi.com/2075-1702/12/8/587

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