Fast partial differential equation de-noising filter for mechanical vibration signal

Aijun Yin*, Lei Zhao, Bin Gao, W. L. Woo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

A novel approach for mechanical vibration signal de-noising filter using PDE and its numerical solution were presented. The proposed method is computationally fast compared with other conventional PDE-based de-noising methods. It enables: (i) by incorporating unconditional stable finite difference backward Euler scheme, the de-noising process has no requirements of grid ratio; (ii) developing variational matrix-based fast filter while the de-noising process can be completed instantly, which will be accomplished by only one iteration; and (iii) effective de-noising method for mechanical vibration signal interfered by Gauss white noise. The method is performed efficiently, and the de-noising tests on different artificial Gauss white noise as well as natural mechanical noise are conducted. Experimental tests have been rigorously compared with different de-noising methods to verify the efficacy of the proposed method.

Original languageEnglish
Pages (from-to)4879-4890
Number of pages12
JournalMathematical Methods in the Applied Sciences
Volume38
Issue number18
Early online date12 Mar 2015
DOIs
Publication statusPublished - 23 Dec 2015

Keywords

  • fast algorithm
  • second-order parabolic systems
  • signal detection and filtering
  • vibration signal

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