基于感应电机启动电磁转矩Hilbert-Huang变换的转子断条故障诊断

该文提出了一种感应电机转子故障诊断新方法。当感应电机转子出现断条故障时，转子绕组的不对称将会使电磁转矩谱中引入2sfs(s为转差率，fs为电网频率)谐波分量。利用砌bert-Huang变换中经验模态分解(EMD)方法对启动电磁转矩信号进行了分解，得到若干本征模态函数(IMF)。通过计算包含故障信息的IMF分量的瞬时频率，可以检测出转子断条故障。同时，根据包含故障信息的IMF的幅值可以进一步判断出转子断条根数。实验结果证明该方法是可行的。

ROTOR BROKEN-BAR FAULT DIAGNOSIS OF INDUCTION MOTOR BASED ON HILBERT-HUANG TRANSFORMATION OF THE STARTUP ELECTRMAGNETIC TORQUE

This paper presents a new method for rotor broken-bar fault diagnosis of induction motors. The asymmetry of the rotor caused by broken-bar fault will give rise to the appearance of additional frequency component of 2sfs (s is slip and fs is supply frequency) in the electromagnetic torque spectrum. The startup electromagnetic torque signal is decomposed into several intrinsic mode function (IMF) with empirical mode decomposition (EMD) based on the Hilbert- Huang Transformation. Then, using the instantaneous frequency extraction principle of the Hilbert Transformation, the rotor broken-bar fault characteristic frequency of 2sfs can be exactly extracted from the IMF component which includes the rotor fault information. Moreover, the magnitude of the IMF which includes the rotor fault information can also give the number of rotor broken bars. Experimental results demonstrate that the proposed electromagnetic torque based fault diagnosis method is feasible.