A Rolling Bearing Coupling Fault Diagnosis Method Based on Wavelet Transform and Blind Source Separation
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摘要: 结合小波变换和盲源分离的优点,提出一种基于小波变换和盲源分离的滚动轴承耦合故障诊断方法。该方法首先对滚动轴承故障信号进行小波分解,得到故障产生的共振频带,并进行包络解调,然后用盲源分离方法对所得到的解调信号进行盲源分离,最后对盲分离后的信号进行频谱变换,从频谱图上可以清晰地观察出滚动轴承的故障特征频率。运用转子-滚动轴承故障实验台,模拟了滚动轴承耦合故障。结果表明:该方法较单一小波分析方法具有更好的降噪能力,更加突出了滚动轴承故障特征。Abstract: We perform the wavelet decomposition of the fault signal of a rolling bearing to obtain its resonance frequency band and then demodulate its envelop with the wavelet transform.Then we carry out the blind source separation of the fault signal thus demodulated and the frequency spectral transform of the fault signal thus separated.The frequency spectral diagram clearly shows the frequencies of the fault features of the rolling bearing.Finally,we use the experimental rig for the fault diagnosis of a rotor-rolling bearing to simulate its coupling fault.The simulation examples verify that our fault diagnosis method has better de-noising capability and can better extract the fault features of the rolling bearing.
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Key words:
- rolling bearing /
- coupling fault diagnosis /
- wavelet transform /
- blind source separation
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