Self-adaptive wavelet threshold de-noising method and its application in the compensation of roll eccentricity signal

Dao Ping Li*, Xiao Lan Yao, Qing He Wu, Yi Zhi Qu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

To solve the problem of compensation of roll eccentricity signal of hydraulic automatic gauge control(AGC) system, a new method based on adaptive threshold de-noising method is proposed. The new method can self-adaptively decide the threshold of wavelet analysis, and make the SNR as a function of the parameter of the filter to acquire the optimal threshold parameter using golden section method. Simulation shows that the result of de-noising with this new method is much better than the original method and have a better result on the compensation of roll eccentricity signal on hydraulic AGC system.

Original languageEnglish
Pages (from-to)179-182+196
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume30
Issue number2
Publication statusPublished - Feb 2010

Keywords

  • Gold section method
  • Self-adaptation
  • The compensation of roll eccentricity signal
  • Threshold de-noising on wavelet transform

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