Condition Monitoring of Ball Bearings Based on Machine Learning with Synthetically Generated Data

Rolling element bearing faults significantly contribute to overall machine failures, which demand different strategies for condition monitoring and failure detection. Recent advancements in machine learning even further expedite the quest to improve accuracy in fault detection for economic purposes...

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Detalles Bibliográficos
Autores principales: Kahr, Matthias, Kovács, Gabor, Loinig, Markus, Brückl, Hubert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002605/
https://www.ncbi.nlm.nih.gov/pubmed/35408105
http://dx.doi.org/10.3390/s22072490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002605/
https://www.ncbi.nlm.nih.gov/pubmed/35408105
http://dx.doi.org/10.3390/s22072490

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