Rotor broken bar fault detection in Induction Motor Using Transformative Techniques

Abstract

Induction motors, especially squirrel cage induction motors, have an important role in industry. Their rotor may be failed under stresses depending on their application and get unexpected failure condition during motor operation. If the failure can be detected during its operation i.e. in transient condition then it prevent failure spread and also manufacture trip. The advancement in digital signal processing transformative techniques have enabled researchers to process more data in less time. Consequently, the information that is not previously available can be extracted from the collected data. In the light of these developments, condition monitoring in induction motor using transformative techniques has recently gather more attention from researchers. Earlier, there are many transformative techniques used for rotor broken bar fault detection purpose but each technique had some disadvantages. The most frequent techniques used by the researchers for rotor faults detection purpose, such as Fast Fourier Transform (FFT) and Short Term Fourier Transform (STFT). The FFT based method unable to diagnose rotor fault in the transient condition and in the no-load condition. Therefore, some researchers proposed STFT technique which is able to diagnose fault in the transient conditions but faced frequency resolution problem. In the present paper, the rotor broken bar fault has been detected by time domain, frequency domain (FFT) and time-frequency domain (Wavelet Transform) transformati