An Intelligent Machinery Fault Diagnosis Method Based on GAN and Transfer Learning under Variable Working Conditions

Intelligent fault diagnosis is of great significance to guarantee the safe operation of mechanical equipment. However, the widely used diagnosis models rely on sufficient independent and homogeneously distributed monitoring data to train the model. In practice, the available data of mechanical equip...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Wangpeng, Chen, Jing, Zhou, Yue, Liu, Xuan, Chen, Binqiang, Guo, Baolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739787/
https://www.ncbi.nlm.nih.gov/pubmed/36501876
http://dx.doi.org/10.3390/s22239175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739787/
https://www.ncbi.nlm.nih.gov/pubmed/36501876
http://dx.doi.org/10.3390/s22239175

Ejemplares similares