A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks

Some artificial intelligence algorithms have gained much attention in the rotating machinery fault diagnosis due to their robust nonlinear regression properties. In addition, existing deep learning algorithms are usually dependent on single signal features, which would lead to the loss of some infor...

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Detalles Bibliográficos
Autores principales: Yang, Daoguang, Karimi, Hamid Reza, Gelman, Len
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780327/
https://www.ncbi.nlm.nih.gov/pubmed/35062632
http://dx.doi.org/10.3390/s22020671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780327/
https://www.ncbi.nlm.nih.gov/pubmed/35062632
http://dx.doi.org/10.3390/s22020671

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