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Integrated system fault diagnostics utilising digraph and fault tree-based approaches

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journal contribution
posted on 18.03.2009, 08:55 authored by Lisa JacksonLisa Jackson, Emma E. Hurdle, Emma M. Kelly
With the growing intolerance to failures within systems, the issue of fault diagnosis has become ever prevalent. Information concerning these possible failures can help to minimise the disruption to the functionality of the system by allowing quick rectification. Traditional approaches to fault diagnosis within engineering systems have focused on sequential testing procedures and real time mechanisms. Both methods have been predominantly limited to single fault causes. Latest approaches also consider the issue of multiple faults in reflection to the characteristics of modern day systems designed for high reliability. In addition, a diagnostic capability is required in real time and for changeable system functionality. This paper focuses on two approaches which have been developed to cater for the demands of diagnosis within current engineering systems, namely application of the fault tree analysis technique and the method of digraphs. Both use a comparative approach to consider differences between actual system behaviour and that expected. The procedural guidelines are discussed for each method, with an experimental aircraft fuel system used to test and demonstrate the features of the techniques. The effectiveness of the approaches are compared and their future potential highlighted.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

BARTLETT, L.M., 2009. Integrated system fault diagnostics utilising digraph and fault tree-based approaches. Reliability Engineering and System Safety, 94 (6), pp. 1107-1115

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publication date

2009

Notes

This article was published in the journal, Reliability Engineering and System Safety [© Elsevier] and the definitive version is available at: www.elsevier.com/locate/ress

ISSN

0951-8320

Language

en

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