Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings

Scientific and technological advances in the field of rotatory electrical machinery are leading to an increased efficiency in those processes and systems in which they are involved. In addition, the consideration of advanced materials, such as hybrid or ceramic bearings, are of high interest towards...

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Detalles Bibliográficos
Autores principales: Saucedo-Dorantes, Juan Jose, Arellano-Espitia, Francisco, Delgado-Prieto, Miguel, Osornio-Rios, Roque Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434472/
https://www.ncbi.nlm.nih.gov/pubmed/34502720
http://dx.doi.org/10.3390/s21175832

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434472/
https://www.ncbi.nlm.nih.gov/pubmed/34502720
http://dx.doi.org/10.3390/s21175832

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