Rolling bearing fault diagnosis based on fine-grained multi-scale Kolmogorov entropy and WOA-MSVM

Rolling bearing fault diagnosis based on fine-grained multi-scale Kolmogorov entropy and WOA-MSVM

In allusion to solve the issue of fault diagnosis for bearing and other rotatory machinery, a technique based on fined-grained multi-scale Kolmogorov entropy and whale optimized multi-class support vector machine (abbreviated as FGMKE-WOA-MSVM) is proposed. Firstly, vibration signals are decomposed...

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Bibliographic Details
Main Authors: Bing wang, Huimin li, Xiong Hu, Cancan Wang, Dejian Sun
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Rolling bearing
Fault diagnosis
SVM
Kolmogorov entropy
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024040179

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http://www.sciencedirect.com/science/article/pii/S2405844024040179

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