基于Hilbert模量频谱分析的异步电动机转子故障在线监测与诊断方法

Hilbert变换是数字信号处理中的一种理想的移相方法。对某一信号进行这种变换，可得到其共轭信号。该文将Hilbert．模量定义为原始信号与其共轭信号的平方和，并在此基础上提出了一种基于定子电流Hilbert模量频谱分析的异步电动机转子故障在线监测与诊断方法。理论分析和实验结果表明该方法可以有效地诊断鼠笼式异步电动机的转子故障。与需要同时采样三相电流的扩展的Park’矢量方法相比，该方法大大节省了硬件和软件开销。

ON-LINE MONITORING AND DIAGNOSIS WAY BASED ON SPECTRUM ANALYSIS OF HILBERT MODULUS IN INDUCTION MOTORS

Hilbert transformation is an ideal phase shifting tool in data signal processing. Being Hilbert transformed, the conjugated one of a signal is obtained. The Hilbert Modulus is defined as the sum of the square of a signal and its conjugation. The aim of this paper is to present a methodology by which rotor faults of squirrel cage induction motors, such as broken rotor bars and eccentricity, can be diagnosed. The methodology is based on the spectral analysis of the stator current Hilbert Modulus of the induction motors. Theoretical analysis and experimental results demonstrate the new way has the same rotor fault detecting ability as the Extended Park?Vector Approach. The vital advantage of the former is the smaller hardware and software spending compared with the latter.