在异步电机转子断条故障检测中，将原信号最优小波包分解，经自适应滤波后再信号重构。
During detection of asynchronous motor rotor-bar broken fault, the signal of current was reconstruct after decomposed by best wavelet packet and adaptive filtered.
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。
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.
分析了转子断条故障特征在电机启动电磁转矩信号中的表现形式及频率变化规律。
The expression and frequency variety law of the rotor broken bar fault feature component in the startup electromagnetic torque signal are analyzed in detail.
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