Rotor Fault Study of an Induction Motor using Fuzzy Controller

Abstract

Quality control is applied in production process. The good condition of electrical machines can be obtained by using diagnostic. There are lots of methods that can be used for diagnostics of electrical machine. In the literature, popular methods are based on a study of electrical signals. This project work proposes a novel automated practical implementation for non contiguous rotor side broken bars detection and diagnosis in induction motors. In this work a method for detection and diagnosis of rotor side broken bars is proposed based on the spectral analysis via fast Fourier transform (FFT) and classification of the spectral response based on fuzzy controlled identifier. For the fault diagnosis objective, two features are pick out from the spectrum of the stator current, 1st is the amplitude of the harmonics representing the broken bars defect 2sf (where s is the slip and f is the fundamental harmonics) and the second is the dc value. By using these obtained parameters a fuzzy identifier is proposed to identify the number of broken bars. For the designing of the proposed fuzzy identifier these two parameters will be used as inputs where the decision about the state of rotor will be made. After the implementation of the proposed work it is expected that the proposed technique will able to efficiently detect the number of broken bars at rotor side.
DOI: 10.17762/ijritcc2321-8169.1505100