Detection of Broken Rotor Bars in Cage Induction Motors Using Machine Learning Methods

In this paper, the performance of machine learning methods for squirrel cage induction motor broken rotor bar (BRB) fault detection is evaluated. Decision tree classification (DTC), artificial neural network (ANN), and deep learning (DL) methods are developed, applied, and studied to compare their p...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Lloyd Prosper Chisedzi, Mbika Muteba
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2023-11-01
श्रृंखला:	Sensors
विषय:	artificial neural network broken rotor bar fault detection current signature decision tree classifier deep learning squirrel cage induction motor
ऑनलाइन पहुंच:	https://www.mdpi.com/1424-8220/23/22/9079
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