JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2011, Vol. 41 ›› Issue (3): 62-66.

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Study on unbalanced signal extraction from a dynamic
balancing machine based on wavelet analysis

MU Shigang, FENG Xianying*, YAN Zhiwen, YANG Jingfang   

  1. School of Mechanical Engineering,Shandong University, Jinan 250061, China
  • Received:2010-10-25 Online:2011-06-16 Published:2010-10-25

Abstract:

The unbalanced signal is periodic and carries intense background noise. In view of these characteristics, a de-noising method using a multilevel threshold based on the analysis of the autocorrelation of detailed coefficients was  proposed. This method uses the discrete wavelet transform technique to decompose the signal into approximations and details.The autocorrelation sequences of the detailed coefficients were  determined.According to whether the sequence reflects the autocorrelation of white noise, the threshold was  determined.The results of experiments and the application in practical dynamic balancing measurement system indicate the presented method was  fit to apply in dynamic balancing measurement, which satisfies the requirement of high precision.

Key words: dynamic balancing, wavelet transform;autocorrelation sequence, multi-level threshold

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