چكيده به لاتين
In this study, broken rotor bars fault in squirrel cage induction motor and that effects on motor performance and output signal's is investigated. Also a method based on signal processing that can be detect online and fast the broken rotor bars of induction motors, is provided. In this method, the wavelet transform is used as one of the most powerful tools in the field of signal processing for various applications. On-line induction machine condition monitoring techniques have been used widely in the detection of motor broken rotor bars for decades. Research has found that when broken bars occur in the machine rotor, the anomaly of electromagnetic field in the air gap will cause two sideband frequency components presenting in the stator current spectrum. Therefore, identification of these sideband frequencies can be used as a convenient and reliable approach to broken rotor bar fault diagnosis.
For this reason, in this study, the stator current signal as diagnostic criteria for a broken rotor bars are used. For detect the broken bars of the rotor fault, this work proposed two different indicators and their performance is investigated. In addition, the impact of various control methods on the performance of the proposed method is also studied. Also a mathematical model for normal induction motor and induction motor with broken rotor bars is proposed. MATLAB software has been used for simulation this models. The simulation results show that the proposed method has a good performance.
Keywords: squirrel cage induction motor, discrete wavelet transforms, broken rotor bars fault.
