A detailed study of the spectral content in the stator current of asynchronous machines under broken rotor bar faults using MCSA technique

摘要

This paper presents the detailed detection of broken rotor bar faults in asynchronous motors (induction motors) using motor current signature analysis (MCSA). Recently, induction motors have become very popular in our daily lives because of their robust, adjustable speed drive, etc. Early detection of faults brings at least catastrophic damage in economic or security field. The Fast Fourier Transform (FFT) is successfully used to detect many faults such as: the broken rotor bars. The FFT is based on the analysis of many signals in induction motor such as: current, power, vibration signal, electromagnetic torque, etc. In this work, MCSA-FFT applied to diagnose the induction motor under broken rotor bar faults. The frequency-domain in the rotating machinery sector has a very important part according to the slip value in order to localize the different components harmonics. Our study based on the FFT tool which is integrated in MCSA technique in the presence of the broken rotor bar faults. Our study presents new explanations concerning the spectral content of the stator current. In addition, we have confirmed the proposals ideas in this subject in order to detect the broken rotor bars. An experimental test for different conditions: at no load or at load operation, healthy or defective state of the induction motor has been performed.