Statistic Moment Based Method for the Detection and Diagnosis of Induction Motor Stator Fault

In this paper a new algorithm for the detection of a three-phase induction motor stator fault is presented. Several fault detection methods are based on the analysis of the input current Park´s vector. This diagnostic technique is based on the identification of a specified current pattern obtained from the transformation of the three-phase stator currents to an equivalent two-phase system. This new algorithm proposes a pattern recognition method to identify induction motor stator faults. The proposed fault diagnosis system is based on the statistic moment method, and also indicates the extension of the stator fault. Simulation and experimental results are presented in order to verify the effectiveness of the proposed method.