基于电磁转矩特征频率提取的感应电机转子断条故障诊断

Rotor Broken Bar Fault Diagnosis of Induction Motors Based on Feature Frequency Extraction of the Electromagnetic Torque Signal

分析了信号复值小波变换的瞬时频率提取原理,根据复解析小波系数的相位信息给出了信号瞬时频率提取算法,将其应用到电机启动电磁转矩信号中转子故障特征的提取上,实现转子断条故障的可靠诊断,并给出了电磁转矩计算及实验结果,实验证明了该方法的有效性。

The instantaneous frequency extraction principle of the signal complex wavelet transformation is analyzed. The instantaneous frequency extraction algorithm based on the phase information of the signal complex wavelet transformation coefficients is presented. The rotor broken bar fault characteristics in the startup electromagnetic torque can thus be extracted using the proposed method and can credibly diagnose the rotor broken bar fault. The result of electromagnetic torque calculation and experiment is provided. Experimental results demonstrates that the rotor broken bar fault diagnosis method is available.