Detection of stator winding inter-turn short circuit fault in induction motor using LS‐SVM

Abstract

A variety of approaches have been proposed for monitoring the state of machines based on intelligent techniques such as neural network, fuzzy logic, neurofuzzy, pattern recognition. However, the use of LSSVM for machine condition monitoring and fault diagnosis is still rare. For this reason, LS-SVM approach has been investigated in this study for interturn
fault detection in stator winding of induction motor. The proposed method uses as input the stator current and decides the motor condition as output by indicating the severity of the short-circuits fault.

Induction Motor | Inter-turn short circuit | Fault diagnosis | Least square support vector machine (LS-SVM)

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