Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm

Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm

This study targets the low accuracy and efficiency of the support vector machine (SVM) algorithm in rolling bearing fault diagnosis. An improved grey wolf optimizer (IGWO) algorithm was proposed based on deep learning and a swarm intelligence optimization algorithm to optimize the structural paramet...

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Bibliographic Details
Main Authors: Weijie Shen, Maohua Xiao, Zhenyu Wang, Xinmin Song
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
rolling bearing
fault diagnosis
IGWO algorithm
SVM algorithm
Online Access:https://www.mdpi.com/1424-8220/23/14/6645

Internet

https://www.mdpi.com/1424-8220/23/14/6645

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