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Detection of broken rotor bars in squirrel cage induction motor using filter and wavelet analysis

机译:用滤波和小波分析检测鼠笼感应电动机转子断条。

摘要

A new method has been developed for the detection of broken rotor bars fault in squirrel cage induction motor during startup regimes. The incipient detection of fault is made by using DWT analysis of FIR low pass filtered original startup transient current signal. The extracted particular characteristic evolution of the time-varying signal is used as a fault index. The method was tested using healthy and damaged 3.0kW squirrel cage induction motors under no-load conditions. The results indicate that the method yields a high degree of performance in fault identification. © (2014) Trans Tech Publications, Switzerland.
机译:已经开发了一种新方法,用于在启动过程中检测鼠笼式感应电动机中的转子条故障。通过对FIR低通滤波后的原始启动瞬态电流信号进行DWT分析,可以对故障进行早期检测。所提取的时变信号的特定特征演化被用作故障指标。该方法在空载条件下使用健康且损坏的3.0kW鼠笼式感应电动机进行了测试。结果表明,该方法具有较高的故障识别性能。 ©(2014)瑞士Trans Tech Publications。

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