基于morlet小波变换和谱峭度的滚动轴承故障诊断方法

作者：黄志东; 林慧斌

来源：中国,河南省,郑州市.

• 滚动轴承
• 故障诊断
• 信号处理
• 优化运行

　　This paper proposes a new method for roiling bearing fault diagnosis based on morlet wavelet transformation and spectral kurtosis.The method uses three original morlet wavelets to decomposes signals and determines the best frequency band for demodulation with a new algorithm of spectral kurtosis automatically and fast.Because the best frequency band is determined by the algorithm and the signal,it takes on high adaptability.The method has been applied to actual signals and satisfactory results have been achieved.The comparison between the new method and the traditional one shows that the new method achieves a better result.

• 单位
  华南理工大学