Multi-Rate Vibration Signal Analysis for Bearing Fault Detection in Induction Machines Using Supervised Learning Classifiers

Vibration signals carry important information about the health state of a ball bearing and have proven their efficiency in training machine learning models for fault diagnosis. However, the sampling rate and frequency resolution of these acquired signals play a key role in the detection analysis. In...

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Bibliografische Detailangaben

Hauptverfasser:	Nada El Bouharrouti, Daniel Morinigo-Sotelo, Anouar Belahcen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-12-01
Schriftenreihe:	Machines
Schlagworte:	condition monitoring ball bearing sampling frequency supervised machine learning vibrations
Online-Zugang:	https://www.mdpi.com/2075-1702/12/1/17
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