Based en a wavelet ridge algorithm, a novel approach is presented for extracting time-variant oscillation performance from data measured by phasor measurement units.
基于小波脊算法，提出了从相量测量装置的实测数据中提取电力系统时变振荡特性的新方法。
The broken bars faulty can be on-line monitored by extracting feature component based on wavelet ridge. Calculation of air-gap torque overcomes the disadvantages which based on current signal.
通过对气隙转矩的计算处理，利用小波脊线提取气隙转矩中转子断条故障特征频率分量，克服了分析定子电流信号时的不足，实现了电机转子断条故障的在线监测。
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