Optimization of Variational Mode Decomposition-Convolutional Neural Network-Bidirectional Long Short Term Memory Rolling Bearing Fault Diagnosis Model Based on Improved Dung Beetle Optimizer Algorithm

(1) Background: Rolling bearings are important components in mechanical equipment, but they are also components with a high failure rate. Once a malfunction occurs, it will cause mechanical equipment to malfunction and may even affect personnel safety. Therefore, studying the fault diagnosis methods...

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Bibliographic Details

Published in:	Lubricants
Main Authors:	Weiqing Sun, Yue Wang, Xingyi You, Di Zhang, Jingyi Zhang, Xiaohu Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	fault diagnosis deep learning dung beetle optimization algorithm VMD CNN-BiLSTM
Online Access:	https://www.mdpi.com/2075-4442/12/7/239