基于旋转滤波-矩阵束的异步电机转子断条故障诊断

现有异步电机故障诊断技术存在短时数据分辨率低、硬件开销大等缺点。针对这一问题,提出一种基于短时数据的旋转滤波-矩阵束的异步电机转子断条故障诊断新方法。利用矩阵束算法抗噪性能强的优点,准确求出定子电流基频成分,并通过逆、正同步旋转变换,剔除了定子电流中的基频成分。利用矩阵束算法准确估算定子电流故障信号的频率和幅值,突破传统基于快速傅里叶变换(FFT)分析算法分辨率不足的限制。仿真和电机试验共同表明:旋转滤波-矩阵束算法可以在短时数据的基础上准确辨识转子断条故障。

Broken Rotor Bar Fault Diagnosis of Asynchronous Motor Based onRotating FilterMatrix Pencil

In the current fault diagnosis technology of asynchronous motors, frequency resolution for short time data was low and hardware overhead was high. For the sake of solving these shortcomings, a novel approach for rotor fault based on rotating filtermatrix pencil of short time data was proposed. Matrix pencil algorithm was used to accurately estimate the fundamental frequency component in stator current, and the fundamental frequency component was removed by inverse and forward rotation transform. Accurate estimation of frequency and amplitude in stator current was realized with the short time data by using matrix pencil algorithm, which broke through the limited resolution of traditional method based on fast Fourier transform (FFT) analysis. The simulation and experimental verification showed that rotating filtermatrix pencil method was valid for broken rotor bar faults with short time data.