吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊2): 221-225.

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Denoising method of time domain load signals of engineering vehicles based on wavelet and fractal theory

WANG Ji-xin1, JI Jing-fang1, ZHANG Ying-shuang1, WANG Nai-xiang1, ZHANG Er-ping2, HUANG Jian-bing2   

  1. 1. College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;
    2. Liugong Machinery Co., Ltd., Liuzhou 545007, China
  • Received:2010-11-14 Online:2011-09-30 Published:2011-09-30

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Abstract:

The characteristics of time domain load signal noises from the transmission component of engineering vehicles were analyzed.A new denoising method based on wavelet and fractal theory was proposed in this paper.After the field signals were decomposed in three layers,correlation dimensions of different scales signals were calculated.The existence of noises can be judged through the variation rule of correlation dimensions.The time domain load signal of output flange of wheel loader gearbox was chosen to illustrate the availability of this method.The results show that the proposed method based on wavelet-fractal denoising can comprehensively deal with noise characteristics for different frequency bands of load signals,so it can effectively overcome the puzzle that how to select the wavelet threshold.

Key words: mechanical engineering, time domain load signal, fractal theory, wavelet decomposition, correlation dimension, denoising

CLC Number: 

  • TH243


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