Volume 32 Issue 11
Nov.  2006
Turn off MathJax
Article Contents
Li Chenggui, Li Baogui, Sun Dan, et al. Application of HHT analysis in surface roughness[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(11): 1341-1344. (in Chinese)
Citation: Li Chenggui, Li Baogui, Sun Dan, et al. Application of HHT analysis in surface roughness[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(11): 1341-1344. (in Chinese)

Application of HHT analysis in surface roughness

  • Received Date: 30 Apr 2006
  • Publish Date: 30 Nov 2006
  • HHT(Hilbert-Huang transform) is a new two-step time-frequency analysis method to analyze the nonlinear and non-stationary signal. The key step of this method is EMD(empirical mode decomposition) method with which any complicated data set can be decompose into a finite and often small number of IMF(intrinsic mode functions). The HHT can decomposed curve of the surface roughness into component with different frequency spectrum. Each component has its own physical meaning. So it can distribute all sorts of factor which had an influence on finished surface. As a consequence, the allsided Hilbert spectrum could be got. Based on this spectrum, it can be know how contributing factor function in workpiece process. HHT is used in the analysis of roughness, and the conclusion is helpful to machining.

     

  • loading
  • [1] 谭善文,秦树人, 汤宝平.Hilbert-Huang变换的滤波特性及其应用[J]. 重庆大学学报(自然科学版),2004,27(2):9-12 Tan Shanwen, Qin Shuren, Tang Baoping. The filtering character of Hilbert-Huang transform and its application[J] . Journal of Chongqing University(Natural Science Edition),2004,27(2):9-12(in Chinese) [2] Huang N E. The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proc R Soc London,1998,A454:903-995 [3] 胡广书. 数字信号处理——理论算法与实现[M]. 北京:清华大学出版社,1997:120-124 Hu Guangshu. Digital signal processing—theory, arithmetic and implement[M]. Tsinghua University Press, 1997:120-124(in Chinese) [4] Shi Chunxiang, Luo Qifeng. Hilbert-Huang transform and wavelet analysis of time history signal[J]. Acta Seismologica Sinca, 2003, 16(4):422-429 [5] Huang Zhongcha, Tong Jijun, Chen Yuquan, et al. A novel spectral analysis method of atrial fibrillation signal based on Hilbert-Huang transform . Proceedings of the 2005 IEEE, Engineering in Medicine and Biology 27th Annual Conference. Shanghai:,2005:1-4
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(2733) PDF downloads(1055) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return