Machine learning for fault analysis in rotating machinery: A comprehensive review

As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is attracted the corresponding community to develop effective intelligent fault diagnosis and prognosis (IFDP) models for rotating machinery. Hence, various challenges arise regarding model assessment, suitabi...

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Detalles Bibliográficos
Autores principales: Das, Oguzhan, Bagci Das, Duygu, Birant, Derya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319205/
https://www.ncbi.nlm.nih.gov/pubmed/37408928
http://dx.doi.org/10.1016/j.heliyon.2023.e17584

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319205/
https://www.ncbi.nlm.nih.gov/pubmed/37408928
http://dx.doi.org/10.1016/j.heliyon.2023.e17584

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