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Aircraft fuel rig system fault diagnostics based on the application of digraphs

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journal contribution
posted on 2008-10-30, 11:11 authored by Emma M. Kelly, Lisa JacksonLisa Jackson
The issue of fault diagnostics is a dominant factor concerning current engineering systems. Information regarding possible failures is required in order to minimize disruption caused to functionality. A method proposed in this paper utilizes digraphs to model the information flow within an application system. Digraphs are composed from a set of nodes representing system process variables or component failure modes. The nodes are connected by signed edges thus illustrating the influence, be it positive or negative, one node has on another. System fault diagnostics is conducted through a procedure of back-tracing in the digraph from a known deviating variable. A computational method has been developed to conduct this process. Comparisons are made between retrieved transmitter readings and those expected while the system is in a known operating mode. Any noted deviations are assumed to indicate the presence of a failure. The current paper looks in detail at the application of the digraph diagnostic method to an industrially based test stand of an aircraft fuel system. This research includes transient system effects; the rate of change of a parameter is taken into consideration as a means of monitoring the system dynamically. The validity of the results achieved, through performing fault diagnostics based on the use of a digraph model, is evaluated. Finally, the effectiveness and scalability issues associated with the application of the method are addressed.



  • Aeronautical, Automotive, Chemical and Materials Engineering


  • Aeronautical and Automotive Engineering


KELLY, E.M. and BARTLETT, L.M., 2007. Aircraft fuel rig system fault diagnostics based on the application of digraphs. Proceedings of the Institution of Mechanical Engineers, Part O : Journal of Risk and Reliability, 221 (4), pp. 275-284 [DOI: 10.1243/1748006XJRR88]


© IMechE / Professional Engineering Publishing

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This article was published in the journal, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability [© IMechE] and is also available at: http://journals.pepublishing.com/content/119859




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