A Noise Resistant Correlation Method for Period Detection of Noisy Signals

Wei Fan, Yongxiang Li, Kwok Leung Tsui, Qiang Zhou

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This paper develops a novel method called the noise resistant correlation method for detecting the hidden period from the contaminated (noisy) signals with strong white Gaussian noise. A novel correlation function is proposed based on a newly constructed periodic signal and the contaminated signal to effectively detect the target hidden period. In contrast with the conventional autocorrelation analysis (AUTOC) method, this method demonstrates excellent performance, especially when facing strong noise. Fault diagnoses of rolling element bearings and gears are presented as application examples and the performance of the proposed method is compared with that of the AUTOC method.

Original languageEnglish (US)
Pages (from-to)2700-2710
Number of pages11
JournalIEEE Transactions on Signal Processing
Volume66
Issue number10
DOIs
StatePublished - May 15 2018

Keywords

  • Period detection
  • correlation
  • fault diagnosis
  • white noise

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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