A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions

Rolling element bearings are a vital part of rotating machines and their sudden failure can result in huge economic losses as well as physical causalities. Popular bearing fault diagnosis techniques include statistical feature analysis of time, frequency, or time-frequency domain data. These enginee...

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Detalles Bibliográficos
Autores principales: Hasan, Md Junayed, Sohaib, Muhammad, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766951/
https://www.ncbi.nlm.nih.gov/pubmed/33339253
http://dx.doi.org/10.3390/s20247205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766951/
https://www.ncbi.nlm.nih.gov/pubmed/33339253
http://dx.doi.org/10.3390/s20247205

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