A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset

Rolling bearings are widely used in industrial manufacturing, and ensuring their stable and effective fault detection is a core requirement in the manufacturing process. However, it is a great challenge to achieve a highly accurate rolling bearing fault diagnosis because of the severe imbalance and...

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Detalles Bibliográficos
Autores principales: Tang, Hongtao, Gao, Shengbo, Wang, Lei, Li, Xixing, Li, Bing, Pang, Shibao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541190/
https://www.ncbi.nlm.nih.gov/pubmed/34695966
http://dx.doi.org/10.3390/s21206754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541190/
https://www.ncbi.nlm.nih.gov/pubmed/34695966
http://dx.doi.org/10.3390/s21206754

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