Research of Fault Diagnosis of Broken Rotor Bar of Asynchronous Motor Based on Wavelet Analysis
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摘要: 针对常用的电动机稳态傅里叶分析方法存在不能分析局部时域信号的局部频谱特性的缺点,提出了一种改进的小波包分析方法, 并将其运用到异步电动机转子断条故障诊断实验中。通过对电动机故障信号进行小波包分解与重构,可以有效地检测出故障信号的频率,从而确定故障的类型和可能发生故障的部位。实验结果证明了该分析方法的有效性。Abstract: In view of shortcoming that common steady state fourier analysis for motor ca't analyze local spectrum characteristics of local time-domain signal, an improved wavelet packet analysis method was put forward which is applied to fault diagnosis of broken rotor bars of asynchronous motor. Through decomposition and reconstruction of the wavelet packet of motor fault signal, the method can detect fault signal frequency effectively, so as to determine fault type and possible fault part. The experiment result proved validity of the method.
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