Improvement on Fast Kurtogram Algorithm by Sub-frequency-band Average
The fast kurtogram algorithm has the advantages of choosing resonance demodulation frequency band adaptively and realizing the envelope demodulation extraction and has broad application prospects in the rolling bearing envelope analysis. But in the fast kurtogram calculation, if there is a high peak pulse interference in the vibration signal, the fast kurtogram calculation can not able to get the adaptive resonance frequency band, eventually the envelope extraction can not effective for rolling bearing fault characteristic information. In order to solve the problem of fast kurtogram algorithm with instability, an improvement fast kurtogram based on the average of sub-band spectral kurtosis has been presented in the paper. The method can effectively eliminate or weaken the influence of pulse interference on the result of fast kurtogram, and improve the robustness of the algorithm and the stability of the frequency band selection for resonant demodulation. The fast kurtogram based on the average of sub-band spectral kurtosis can extract the rolling bearing fault feature accurately. Simulation and experimental results verify the effectiveness of this method.
Kunming University of Science and Technology, Kunming 650500, China
Abstract：The fast kurtogram algorithm has the advantages of choosing resonance demodulation frequency band adaptively and realizing the envelope demodulation extraction and has broad application prospects in the rolling bearing envelope analysis. But in the fast kurtogram calculation, if there is a high peak pulse interference in the vibration signal, the fast kurtogram calculation can not able to get the adaptive resonance frequency band, eventually the envelope extraction can not effective for rolling bearing fault characteristic information. In order to solve the problem of fast kurtogram algorithm with instability, an improvement fast kurtogram based on the average of sub-band spectral kurtosis has been presented in the paper. The method can effectively eliminate or weaken the influence of pulse interference on the result of fast kurtogram, and improve the robustness of the algorithm and the stability of the frequency band selection for resonant demodulation. The fast kurtogram based on the average of sub-band spectral kurtosis can extract the rolling bearing fault feature accurately. Simulation and experimental results verify the effectiveness of this method.
收稿日期: 2013-12-19
出版日期: 2015-04-15
引用本文:
代士超，郭瑜，伍星，那靖. 基于子频带谱峭度平均的快速谱峭度图算法改进[J]. 振动与冲击, 2015, 34(7): 98-102.
DAI Shi-chao, GUO Yu, WU Xing, NA Jing. Improvement on Fast Kurtogram Algorithm by Sub-frequency-band Average. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(7): 98-102.
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