An Autocorrelation Method for Asynchronous Vibration Feature Extraction in Blade Tip Timing

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

2 Scopus citations

Abstract

Engine compressor blades play important roles in aeroengine operation. They are easily injured by foreign objects due to direct contact with the outside air. Blade tip timing (BTT) is a non-contacting vibration measurement method for rotating blade health monitoring. However, the under sampled problem is an inevitable obstacle in the feature extraction of BTT signal. An alternative feature extraction method called autocorrelation method for asynchronous vibration analysis is proposed in this paper to identify the vibration amplitude and frequency of the under sampled BTT signal simultaneously. Based on the assumption of single frequency vibration, the signals collected by three probes are used to form two equations, and the vibration frequency and amplitude are obtained by solving them. Additionally, the discussion on the probe layout required by the proposed method is conducted. The verification using simulation signal (the noised signal with one frequency component) and experimental signal (signal collected under constant rotating speed) shows that the amplitude and frequency can be accurately extracted by the proposed method.

Original languageEnglish
Title of host publicationI2MTC 2021 - IEEE International Instrumentation and Measurement Technology Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728195391
DOIs
StatePublished - 17 May 2021
Event2021 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021 - Virtual, Glasgow, United Kingdom
Duration: 17 May 202120 May 2021

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
Volume2021-May
ISSN (Print)1091-5281

Conference

Conference2021 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021
Country/TerritoryUnited Kingdom
CityVirtual, Glasgow
Period17/05/2120/05/21

Keywords

  • autocorrelation function
  • autocorrelation method
  • blade tip timing
  • condition monitoring
  • feature extraction

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