RESEARCH ON CONDITION MONITORING OF MACHINERY USING FRACTAL GEOMETRY

Abstract

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, Correlation dimension, Fractal geometry, Wavelet transformation

CLC Number:

TB52 TH31 TH133

Liu Tianxiong;Hua Hongxing;Li Zhongfu;Chen Zhaoneng;Zhu Jimei. RESEARCH ON CONDITION MONITORING OF MACHINERY USING FRACTAL GEOMETRY[J]. , 2001, 37(5): 100-104.

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RESEARCH ON CONDITION MONITORING OF MACHINERY USING FRACTAL GEOMETRY

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