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

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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Bibliographic Details
Main Authors: Ziming Kou, Fen Yang, Juan Wu, Tengyu Li
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Entropy
Subjects:
sheave bearing
energy entropy
support vector machine
artificial fish swarm algorithm
Online Access:https://www.mdpi.com/1099-4300/22/12/1347

Internet

https://www.mdpi.com/1099-4300/22/12/1347

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