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A Novel Joint Adversarial Domain Adaptation Method for Rotary Machine Fault Diagnosis under Different Working Conditions

In real-world applications of detecting faults, many factors—such as changes in working conditions, equipment wear, and environmental causes—can cause a significant mismatch between the source domain on which classifiers are trained and the target domain to which those classifiers are applied. As su...

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Detalles Bibliográficos
Autores principales:	Zhao, Xiaoping, Shao, Fan, Zhang, Yonghong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695822/ https://www.ncbi.nlm.nih.gov/pubmed/36433602 http://dx.doi.org/10.3390/s22229007

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