1. Based on the optimal frequency band of maximum correlation kurtosis de-convolution for bearing weak fault diagnosis
- Author
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Hongkun Li, Mengfan Hou, Rui Yang, and Daolong Tang
- Subjects
Correlation coefficient ,Frequency band ,02 engineering and technology ,Physics::Data Analysis ,Statistics and Probability ,01 natural sciences ,Time–frequency analysis ,Wavelet packet decomposition ,020303 mechanical engineering & transports ,Wavelet ,0203 mechanical engineering ,Frequency domain ,0103 physical sciences ,Statistics ,Kurtosis ,Statistics::Methodology ,Time domain ,010301 acoustics ,Algorithm ,Mathematics - Abstract
The traditional method of kurtosis is calculating the kurtosis value in the time domain. The larger the obtained value is, the stronger the corresponding impact characteristic. Afterward, in order to characterize the period of the signal, the correlation kurtosis is proposed by combining the correlation coefficient and kurtosis. In this paper, the correlation kurtosis is calculated in the frequency domain to select the optimal analysis frequency band. But it has a poor performance in the case of low signal-to-noise ratio. Therefore, the maximum correlation kurtosis de-convolution method is applied as a preprocessing method to enhance impact characteristic. The whole band is divided into multiple sub-bands based on the wavelet packet binary tree and the optimal band is corresponding to the subband for which correlation kurtosis value is max.
- Published
- 2017
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