在初期匝间短路故障检测中，故障特征频率的幅值很小，且易受到噪声信号的干扰，导致无法检测出故障信号。针对以上问题，提出了一种基于变分模态分解（VMD）与双对数频谱分析的永磁同步电机（PMSM）初期匝间短路故障检测方法。该方法利用VMD去除零序电压分量（ZSVC）中的噪声和相关谐波分量以突出故障特征分量。然后利用双对数频谱分析法对得到的信号进行频谱分析，通过检测频谱图中是否含有故障特征频率来判断电机匝间短路故障。通过仿真和实物试验验证了该故障检测方法的有效性。

In the incipient stage inter-turn short circuit fault detectionthe fault signal cannot be detected because the amplitude of fault characteristic frequency is very small and it is easy to be interfered by noise signal. To solve the above problemsa method based on variational mode decomposition (VMD) and double logarithmic spectrum analysis is proposed for the incipient stage inter-turn short circuit fault detection of permanent magnet synchronous motor (PMSM). The VMD is applied to remove the noise and related harmonic components in zero sequence voltage component (ZSVC) for highlighting the fault characteristic component. Thenthe double logarithmic spectrum analysis method is used to analyze the obtained signal for inter-turn faultand the fault of inter-turn short circuit can be judged by detecting the fault characteristic frequency in the spectrum diagram. The effectiveness of the proposed fault detection method is validated by the simulation and physical test.

TM341