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基于希尔伯特-黄变换方法的信号奇异性检测与仿真 被引量:1

Singularity Detection and Simulation Based on Hilbert-Huang Transform
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摘要 介绍了希尔伯特-黄变换(HHT)方法的分析步骤、特点和应用范围,并对信号奇异性检测效果进行了仿真分析,并和短时傅里叶变换(STFT)、魏格纳-威利分布(WVD)、小波变换(WT)等分析方法进行了比较。结果表明,希尔伯特-黄变换方法具有良好的局部适应性和在信号奇异性检测方面的有效性及优越性。 Pointed out the function,peculiarities and applications of Hilbert-Huang Transform(HHT).Compared singularity detection performances with STFT、WVD、WT in simulation accurately.The result shows that HHT is efficient in singularity detection.
出处 《现代机械》 2010年第4期30-31,62,共3页 Modern Machinery
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共引文献24

同被引文献3

  • 1杨露,沈怀荣.Hilbert-Huang变换在故障诊断特征提取中的应用[C]//第五届博士学术年会论文集.北京:中国科学技术出版社,2008:155-161.
  • 2Peng Z K,Peter Tse W,Chu F L. A comparison study of improved Hilbert - Huang transform and wavelet transform : application to fault diagnosis for rolling bearing[J]. Mechanical Systems and Signal Processing, 2005,19:974 - 988.
  • 3Lee Seung- Mock, Choi Yeon - Sun. Fault diagnosis of partial rub and looseness in rotating machinery using Hilbert- Huang transform [ J ]. Journal of Mechanical Science and Technology ,2005,22:2151 - 2162.

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