Fault Detection of Wheelset Bearings through Vibration-Sound Fusion Data Based on Grey Wolf Optimizer and Support Vector Machine

This study aims to detect faults in wheelset bearings by analyzing vibration-sound fusion data, proposing a novel method based on Grey Wolf Optimizer (GWO) and Support Vector Machine (SVM). Wheelset bearings play a vital role in transportation. However, malfunctions in the bearing might result in ex...

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Bibliografiske detaljer

Principais autores:	Tianhao Wang, Hongying Meng, Fan Zhang, Rui Qin
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-08-01
Serier:	Technologies
Fag:	support vector machine grey wolf optimizer bearing fault detection fusion data
Online adgang:	https://www.mdpi.com/2227-7080/12/9/144
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