International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Stator Interturn Short Circuit Fault Diagnosis by Current Concordia Pattern Using Fuzzy for Decision Evaluation

PRAMOD S. JADHAV, PROF. ALKA THAKUR

Abstract :

An early detection and diagnosis of induction motor stator short circuit inter turn fault prevents greater damage to nearby coils, core, and insulation and eventually to the motor. The presence of stator inter turn short circuit fault can be detected by analysis of parks transformed stator current Concordia patterns. Further in this paper to increase accuracy and extract features, wavelet transformation is used and for decision making fuzzy system is been trained. The proposed fuzzy approach is dependent on detailed level coefficient Concordia pattern, obtained from wavelet transformation. Experimental results integrate the aim of paper.

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