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

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  • Bartlett, L.M.
  • Hurdle, E.E.
  • Kelly, E.M.

Abstract

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 is compared and their future potential highlighted.

Suggested Citation

  • Bartlett, L.M. & Hurdle, E.E. & Kelly, E.M., 2009. "Integrated system fault diagnostics utilising digraph and fault tree-based approaches," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1107-1115.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:6:p:1107-1115
    DOI: 10.1016/j.ress.2008.12.005
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    References listed on IDEAS

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    1. E. E. Hurdle & L. M. Bartlett & J. D. Andrews, 2007. "System fault diagnostics using fault tree analysis," Journal of Risk and Reliability, , vol. 221(1), pages 43-55, March.
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    Cited by:

    1. Lu, Lu & Xu, Zhengguo & Wang, Wenhai & Sun, Youxian, 2013. "A new fault detection method for computer networks," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 45-51.
    2. Santosh B. Rane & Yahya A. M. Narvel, 2016. "Reliability assessment and improvement of air circuit breaker (ACB) mechanism by identifying and eliminating the root causes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(1), pages 305-321, December.
    3. Babaleye, Ahmed O. & Kurt, Rafet Emek & Khan, Faisal, 2019. "Safety analysis of plugging and abandonment of oil and gas wells in uncertain conditions with limited data," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 133-141.
    4. Ajith Tom James & O. P. Gandhi & S. G. Deshmukh, 2018. "Fault diagnosis of automobile systems using fault tree based on digraph modeling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 494-508, April.
    5. Yılmaz, Emre & German, Brian J. & Pritchett, Amy R., 2023. "Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees," Reliability Engineering and System Safety, Elsevier, vol. 230(C).

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    1. Ajith Tom James & O. P. Gandhi & S. G. Deshmukh, 2018. "Fault diagnosis of automobile systems using fault tree based on digraph modeling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 494-508, April.

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