High-Resolution-Based Electrical Fault Diagnosis of Induction Motor Using Gabor analysis of Quadrature Stator Current at Variable Speed Regime.

This paper presents the detection of electrical faults in three phase induction motor using improved resolution of Gabor Analysis (GA) by quadrature stator current (QSA). Resolution problems associated with conventional spectral analysis of stator current need to be addressed for incipient faults. In particular, rotor faults will develop characteristic frequencies as side bands of fundamental and its harmonics. Moreover, these frequencies are spread over the spectrum as the motor is operated at variable speeds. Conventional spectral analysis has not shown satisfactory results due to various reasons like domination of healthy components, noise, and resolution problems. This is a major issue at low slip value of motor especially. This paper proposes Park's Vector Transformation to get quadrature component of stator current which overcomes the domination problems, and the de-noising will eliminate the noise with suitable threshold value, whereas the resolution issue is solved using proposed GA and the severity is estimated with feature extraction parameters. The fault indexing parameters of proposed Gabor analysis have improved by 40–60% compared to conventional wavelet analysis. The perfectness of proposed fault estimation is examined using experimental validation on a 3 phase induction motor of 1.5kW test bed. [ABSTRACT FROM AUTHOR]