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Wavelet transform has become popular because of satisfied result for identifying short circuit in stator of induction motor. This paper presents prototype of discrete wavelet transform combined with quadratic discriminant analysis for monitoring of induction motor condition. Mode of motor operation is introduced in this paper as normal operation, starting of fault, and ending of fault. For this task, Discrete wavelet transform with Quadratic discriminant analysis is used to classify motor current into this three state of motor operation. Motor current is processed by discrete wavelete transform with Haar filter to extract high frequency of signal. Then, energy level calculated from high frequency signal is evaluated with quadratic discriminant analysis to identifying four states of motor current.

Short Circuit Detection in Stator Winding Of Three Phase Induction Motor Using Wavelet Transform and Quadratic Discriminant Analysis