采用p-q变换的感应电动机转子断条故障诊断

Broken rotor bar fault diagnosis of induction motors based on p-q transform

转子断条故障是感应电动机的常发故障,故障时定子电流谱中的(1±2s)f故障特征分量远小于基频分量,易被基频的泄漏所淹没,因此无法准确判别故障的存在,尤其是轻载情况下。针对这一问题,文章提出采用p-q变换进行电动机转子断条故障诊断,分离影响特征量提取的基频信号,使故障特征在频谱中得以凸显,实现感应电动机断条故障的准确检测与诊断。通过理论分析和实验验证表明,该方法能够正确检测出转子断条故障的存在,即使在电机轻载运行时亦具有良好的检测效果。

The rotor bar breaking fault was one of the common faults of induction motors. When the bar is broken, the frequency components of the fault feature will appear in the stator current. Compared with the amplitude of the fundamental frequency component they are very small. In the analysis, they will often be overwhelmed by the leakage of fundamental frequency, especially in the case of low load rate when the motor is running. To solve this problem, the paper proposes a new method for broken rotor bar fault diagnosis of induction motors based on p-q transform, which can remove the fundamental frequency component from stator current, so that the characteristic frequency components can be highlighted to achieve the detection and diagnostics of rotor bar breaking fault. The theoretical analysis and experimental verification indicate that the method of fault detection and diagnosis for induction motor is able to correctly detect the rotor bar breaking fault of induction motors, even when the motor is running at low load rate and it also gives out a good detection results.