A Generative Adversarial Network Based a Rolling Bearing Data Generation Method Towards Fault Diagnosis

As a new generative model, the generative adversarial network (GAN) has great potential in the accuracy and efficiency of generating pseudoreal data. Nowadays, bearing fault diagnosis based on machine learning usually needs sufficient data. If enough near-real data can be generated in the case of in...

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Detalles Bibliográficos
Autores principales: Huo, Lin, Qi, Huanchao, Fei, Simiao, Guan, Cong, Li, Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300344/
https://www.ncbi.nlm.nih.gov/pubmed/35875772
http://dx.doi.org/10.1155/2022/7592258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300344/
https://www.ncbi.nlm.nih.gov/pubmed/35875772
http://dx.doi.org/10.1155/2022/7592258

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