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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |