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| Feature Frequency Extraction Method Based on Mean Envelope ITD and Spectral Kurtosis |
| ZHANG Shu-qing,DONG Yu-lan,ZHANG Li-guo,YAN Bing,HUANG Wen-jing,XU Jian-tao,HE Peng |
| The Key Lab of Measurement Technology and Instrumentation of Hebei Province,Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract A feature frequency extraction method based on mean envelope ITD and spectral kurtosis is proposed.Was applied to the bearing fault diagnosis, the vibration signal was first decomposed and reconstructed by the mean ITD. Then the resonance frequency band was selected automatically through the spectrum kurtosis. Finally, the bearing fault could be diagnosed by comparing the envelope spectrum and the characteristic frequency. The analysis result to the data from Case Western Reserve University bearing center and real project proves that it could get more obvious spectrum and more accurate diagnosis by the mean envelope ITD and spectral kurtosis method.
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Received: 30 November 2015
Published: 11 August 2017
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2017, Vol. 38 
