Dynamic load spectrum signal de-noising of tracked vehicle transmission

Hai Ou Liu, Guo Xin Zhang, Jun Qiang Xi, Hong Yan Zhang, Yi Xu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In order to satisfy accuracy requirement of testing data for the compiling of dynamic load spectrum of tracked vehicle transmission, the problem of how to deal with the irregular noise, usually existing in the dynamic load spectrum signal, was studied. First, the collected signal is analyzed by power spectrum analysis. The frequency distribution and the characteristics of the load signal were briefly analyzed, and the main distribution range of the useful signal was determined. Then, the wavelet analysis method for dynamic load spectrum signal de-noising was studied, and the calculation method of adaptive threshold developed from universal threshold was presented. Quantificational evaluation based on SNR and MSE, the de-nosing results of typical sine simulation signal with different noise pollution indexes were comparatively analyzed, and the de-noising results of load simulation signal with real noise signal were also comparatively analyzed both using the two methods. Furthermore, combined with the real transmission characteristics in the process of dynamic driving and gear shifting, effective analysis was presented. It shows that the adaptive threshold de-noising method has a better de-noising effect on the premise of keeping useful medium-high frequency dynamic load spectrum signal.

Original languageEnglish
Pages (from-to)42-49
Number of pages8
JournalJilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
Volume47
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • Adaptive threshold
  • Dynamic load spectrum signal
  • Signal de-noising
  • Vehicle engineering
  • Wavelet analysis

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