Journal of Harmonized Research in Engineering

STATOR INTERTURN SHORT CIRCUIT FAULT DIAGNOSIS BY CURRENT CONCORDIA PATTERN USING FUZZY FOR DECISION EVALUATION

Abstract

Author(s): Pramod S. Jadhav, Alka Thakur

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 st ator 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. Keywords: Concordia pattern, fault diagnosis of induction motor, fuzzy logic, wavelet.