Time-frequency domain incipient fault detection with application to an aviation fuel system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

  • Andy Mills
  • Chris Wilson
  • Haydn Thompson
  • Peter Fleming
  • Graham Tanner
  • Keith Jackson

Colleges, School and Institutes

External organisations

  • The University of Sheffield
  • Department of Mechanical Engineering
  • Rolls Royce PLC

Abstract

This paper concerns the holistic analysis of high frequency data for an aviation fuel distribution system with an aim to maximise the ability to detect incipient faults. Within a statistical framework, wavelet, Fourier and time-series analysis techniques are applied to the identification of candidate phenomena acting as early precursors to valve and fuel system failure. The focus of this paper is the detection of the incipient effects within the hydro-mechanical system of a fuel thermal stability rig, using high frequency data collected during an endurance testing programme.

Bibliographic note

Copyright: Copyright 2014 Elsevier B.V., All rights reserved.

Details

Original languageEnglish
Title of host publication6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009
Publication statusPublished - 2009
Event6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009 - Dublin, Ireland
Duration: 23 Jun 200925 Jun 2009

Publication series

Name6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009
Volume2

Conference

Conference6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009
CountryIreland
CityDublin
Period23/06/0925/06/09