Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach

The bearing is an essential component of a rotating machine. Sudden failure of the bearing may cause an unwanted breakdown of the manufacturing plant. In this paper, an intelligent fault diagnosis technique was developed to diagnose various faults that occur in a deep groove ball bearing. An experim...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 3; S. 1073
Hauptverfasser:	Saha, Dip Kumar, Hoque, Md Emdadul, Badihi, Hamed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 29.01.2022 MDPI
Schlagworte:	Accuracy Acoustics Algorithms ball bearing Classification Datasets Decision trees Fault diagnosis Feature selection Genetic algorithms Intelligence Internet of Things Machine learning machine learning (ML) Machinery Maintenance costs Optimization techniques particle swarm optimization (PSO) Pattern recognition Signal processing Support Vector Machine support vector machine (SVM) Support vector machines Vibration Vibration analysis Wavelet transforms fault diagnosis machine learning (ML) ball bearing particle swarm optimization (PSO) support vector machine (SVM)
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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