RESEARCH ON CONDITION MONITORING OF

MACHINERY USING FRACTAL GEOMETRY

Liu Tianxiong  Hua Hongxing  Li Zhongfu  Chen Zhaoneng

(Shanghai Jiaotong University)

Zhu Jimei

(Shanghai University of Technology)

Abstract: The wavelet transformation based on the noise signal of working machinery is established for the analysis of the correlation dimension of the typical working condition. Correlation dimension of the decomposing coefficient of wavelet transformation is calculated to recognize the working condition and detect the working condition. The field experiment show that the correlation dimension of the similar working conditions have some similar value while different working conditions have some distinct difference. The correlation plot of typical working condition of pump plotted in the same paper has different domain. The experimental results and correlation plot confirmed the feasibility and validity of the method proposed.

Key words: Condition monitoring  Wavelet transformation  Fractal geometry  Correlation dimension
CLC No: TB52  TH31  TH133
国家自然科学基金资助项目. Received 20000522, received in revised form 20001020