Combine Harvester Bearing Fault-Diagnosis Method Based on SDAE-RCmvMSE

In the fault monitoring of rolling bearings, there is always loud noise, leading to poor signal stationariness. How to accurately and efficiently identify the fault type of rolling bearings is a challenge. Based on multivariate multiscale sample entropy (mvMSE), this paper introduces the refined com...

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Detalles Bibliográficos
Autores principales: Yang, Guangyou, Cheng, Yuan, Xi, Chenbo, Liu, Lang, Gan, Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407150/
https://www.ncbi.nlm.nih.gov/pubmed/36010803
http://dx.doi.org/10.3390/e24081139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407150/
https://www.ncbi.nlm.nih.gov/pubmed/36010803
http://dx.doi.org/10.3390/e24081139

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