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.
历史数据表明，转子断条是感应电机最常见的故障，占其全部故障种类的10%左右。
Statistical studies have shown that the rotor broken bar fault, which account for nearly 10% of total induction motor failures, is the most familiar fault for induction motors.
但由于工作环境恶劣，或者电机频繁起动等原因，转子导条经常会发生开焊和断裂等故障，因此有必要对电机进行转子断条在线检测。
But mechanical faults such as breakage of rotor bars often happen owing to various stresses. Therefore online detection on induction motors is necessary.
揭示了过去人们试图把定子电流中故障特征量的大小作为电机转子断条根数多少的判据的局限性，提出了把断条引起电机的不对称性作为电机故障程度判据的新的理论。
Finally, a new theory is proposed, in which the asymmetry of the motor induced by broken bars is taken as the criterion for determination of the degree of motor faults.
该系统是针对工矿企业大中型异步电机转子过热，引起断条这一普遍故障而研制的。
This system is developed to take aim at the general malfunction of broken club 4ue to overheating of the rotor of large induction motor in factories, mines and other enterprises.
该系统是针对工矿企业大中型异步电机转子过热，引起断条这一普遍故障而研制的。
This system is developed to take aim at the general malfunction of broken club 4ue to overheating of the rotor of large induction motor in factories, mines and other enterprises.
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