Application of ICEEMDAN Energy Entropy and AFSA-SVM for Fault Diagnosis of Hoist Sheave Bearing

The mine hoist sheave bearing is a large heavy-duty bearing, located in a derrick of tens of meters. Aiming at the difficulty of sheave bearing fault diagnosis, a combined fault-diagnosis method based on the improved complete ensemble EMD (ICEEMDAN) energy entropy and support vector machine (SVM) op...

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Detalles Bibliográficos
Autores principales: Kou, Ziming, Yang, Fen, Wu, Juan, Li, Tengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760510/
https://www.ncbi.nlm.nih.gov/pubmed/33266531
http://dx.doi.org/10.3390/e22121347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760510/
https://www.ncbi.nlm.nih.gov/pubmed/33266531
http://dx.doi.org/10.3390/e22121347

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