Adaptive angular-displacement vold-kalman order tracking

Min Chun Pan, Cheng Xue Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The paper proposes and implements an adaptive Vold-Kalman filtering order tracking (VKF_OT) approach to improve the original VKF_OT scheme in an adaptive manner for the interpretation and diagnosis of rotary machinery during operation. The paper comprises theoretical derivation and numerical implementation. Comparisons of the improved VKF_OT scheme to the original are accomplished through processing a synthetic signal. Parameters such as the weighting factor and the correlation matrix of process noise, which influences tracking performance, are investigated. The adaptive OT scheme based on the Kalman filter can be computed on-line and implemented as a real-time processing application.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesIII1293-III1296
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: 15 Apr 200720 Apr 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Conference

Conference2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/TerritoryUnited States
CityHonolulu, HI
Period15/04/0720/04/07

Keywords

  • Acoustic and vibration signals
  • Adaptive filtering
  • Order tracking
  • Signal extraction

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