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

Andy Mills; Simon Blakey; Chris Wilson; Haydn Thompson; Peter Fleming; Graham Tanner; Keith Jackson

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

Andy Mills, Simon Blakey, Chris Wilson, Haydn Thompson, Peter Fleming, Graham Tanner, Keith Jackson

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009
Publisher	British Institute of Non-Destructive Testing
Pages	764-775
Number of pages	12
ISBN (Print)	9781618390097
Publication status	Published - 2009
Event	6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009 - Dublin, Ireland Duration: 23 Jun 2009 → 25 Jun 2009

Publication series

Name	6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009
Volume	2

Conference

Conference	6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009
Country/Territory	Ireland
City	Dublin
Period	23/06/09 → 25/06/09

Bibliographical note

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

ASJC Scopus subject areas

Mechanical Engineering
Safety, Risk, Reliability and Quality

Cite this

Mills, A., Blakey, S., Wilson, C., Thompson, H., Fleming, P., Tanner, G., & Jackson, K. (2009). Time-frequency domain incipient fault detection with application to an aviation fuel system. In 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009 (pp. 764-775). (6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009; Vol. 2). British Institute of Non-Destructive Testing.

Mills, Andy ; Blakey, Simon ; Wilson, Chris et al. / Time-frequency domain incipient fault detection with application to an aviation fuel system. 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009. British Institute of Non-Destructive Testing, 2009. pp. 764-775 (6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009).

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title = "Time-frequency domain incipient fault detection with application to an aviation fuel system",

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.",

author = "Andy Mills and Simon Blakey and Chris Wilson and Haydn Thompson and Peter Fleming and Graham Tanner and Keith Jackson",

note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009 ; Conference date: 23-06-2009 Through 25-06-2009",

year = "2009",

language = "English",

isbn = "9781618390097",

series = "6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009",

publisher = "British Institute of Non-Destructive Testing",

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Mills, A, Blakey, S, Wilson, C, Thompson, H, Fleming, P, Tanner, G & Jackson, K 2009, Time-frequency domain incipient fault detection with application to an aviation fuel system. in 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009. 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009, vol. 2, British Institute of Non-Destructive Testing, pp. 764-775, 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009, Dublin, Ireland, 23/06/09.

Time-frequency domain incipient fault detection with application to an aviation fuel system. / Mills, Andy; Blakey, Simon; Wilson, Chris et al.
6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009. British Institute of Non-Destructive Testing, 2009. p. 764-775 (6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Time-frequency domain incipient fault detection with application to an aviation fuel system

AU - Mills, Andy

AU - Blakey, Simon

AU - Wilson, Chris

AU - Thompson, Haydn

AU - Fleming, Peter

AU - Tanner, Graham

AU - Jackson, Keith

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:84905698728

SN - 9781618390097

T3 - 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009

SP - 764

EP - 775

BT - 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009

PB - British Institute of Non-Destructive Testing

T2 - 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009

Y2 - 23 June 2009 through 25 June 2009

ER -

Mills A, Blakey S, Wilson C, Thompson H, Fleming P, Tanner G et al. Time-frequency domain incipient fault detection with application to an aviation fuel system. In 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009. British Institute of Non-Destructive Testing. 2009. p. 764-775. (6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009).

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

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this