期刊文献+

基于复Morlet小波谱峭度图包络分析算法的改进 被引量:1

Envelopment Analysis Based on Morlet Wavelet and Kurtogram
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摘要 基于复Morlet小波谱峭度图的包络分析方法具有自适应选取带通滤波优化中心频率和带宽的优点.但原算法存在构造的滤波器带宽并非理想的-3dB带宽,且各级滤波器组所覆盖分析频带不一致的问题,其可导致包络提取错误.本文提出了一种优化算法,该算法可在实现确定带通滤波器优化中心频率和带宽的同时,可确保各滤波器组中滤波器的交叠点为-3dB带宽处和各滤波器组覆盖频带的一致性.试验验证了该方法的有效性. Envelopment analysis based on the combination of complex Morlet wavelet and Kurtogram is advanta- geous for its automatic calculation of the center frequency and bandwidth of required band - pass filter. However, there are some drawbacks in the traditional algorithm : the filter bandwidth is not - 3dB bandwidth and the analy- sis frequency band covered by the filter banks are inconsistent at different levels. A new algorithm is then intro- duced in this paper. Through it, both optimal center frequency and bandwidth of band - pass filter in the envelop analysis can be obtained adaptively. Meanwhile, it ensures overlapping of the filters in the filter banks at the point of -3dB bandwidth and the frequency band consistency of the covered filter banks. The effectiveness is verified by the tests.
出处 《昆明理工大学学报(自然科学版)》 CAS 北大核心 2013年第2期56-62,共7页 Journal of Kunming University of Science and Technology(Natural Science)
基金 教育部留学回国人员科研启动基金(教外司留[2009]1590号) 云南省教育厅科学研究基金(2010Y379)
关键词 滚动轴承 谱峭度 MORLET小波 包络分析 rolling bearing spectral Kurtosis Morlet wavelet envelopment analysis
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参考文献9

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二级参考文献7

  • 1Sawalhi N, Randall R B, Endo H. The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution com- bined with spectral kurtosis[J]. Mechanical Systems and Signal Processing, 2007,21 : 2616-2633.
  • 2Combet F, Gelman L. Optimal filtering of gear sig- nals for early damage detection based on the spectral kurtosis[J].Mechanical Systems and Signal Processing, 2009,23:652-668.
  • 3Nikolaou N G, Antoniadis I A. Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted morlet wavelets[J].Mechanical Systems and Signal Processing, 2002, 26 (4):677-694.
  • 4Antoni J. The spectral kurtosis: a useful tool for characterising nonstationary signals[J].Mechanical Systems and Signal Processing, 2006,20(2) : 282-307.
  • 5Antoni J, Randall R B. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines[J].Mechanical Systems and Signal Processing, 2006,20 (2) :308-331.
  • 6Sawalhi N. Diagnostics, prognostics and fault simulation for rolling element bearings[D]. [S. 1.], The University of New South Wales, 2007.
  • 7何岭松,李巍华.用Morlet小波进行包络检波分析[J].振动工程学报,2002,15(1):119-122. 被引量:56

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