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| Research of rolling element bearing fault diagnosis based on 1.5- dimensional Teager kurtosis spectrum |
| Tang Gui-ji , Pang Bin |
| School of Mechanical Engineering，North China Electric Power University，Baoding 071003，China |
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Abstract The vibration signals of faulty rolling element bearings perform remarkable non-Gaussian characteristics, high order cumulants and high order spectra technology are good tools in analyzing non-Gaussian signals. A method named sliding Teager kurtosis was proposed on the basis of Teager kurtosis, and it was connected with 1.5-dimension spectrum to propose a new fault diagnosis method for rolling element bearings based on 1.5-dimensional Teager kurtosis spectrum. First, a time series of Teager kurtosis that could reflect the impulse characteristics of the vibration signal was obtained through computation of sliding Teager kurtosis, then fault characteristic frequency of rolling element bearing would be extracted by calculating 1.5-dimension spectrum of the Teager kurtosis time series. The analysis of simulated signals reflected the demodulation function and the ability of extracting weak impulse in rolling element bearing fault diagnosis. Finally, the effectiveness of the proposed method was validated by analyzing an experimental inner ring fault signal, compared with the method of resonance demodulation based on fast computation of kurtogram.
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Received: 01 April 2014
Published: 15 August 2015
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