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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Vydáno v:	Sensors (Basel, Switzerland) Ročník 22; číslo 3; s. 1073
Hlavní autoři:	Saha, Dip Kumar, Hoque, Md Emdadul, Badihi, Hamed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 29.01.2022 MDPI
Témata:	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
On-line přístup:	Získat plný text
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