Advances in digraph model processing applied to automated monitoring and diagnosis

Iverson, David; Patterson-Hine, F. A.

doi:10.1016/0951-8320(95)00049-8

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…However, since system failures are not usually the outcome of a single fault, the ability to diagnose multiple faults is of vital importance. Hence following Rao's technique, Iverson [26] considered the combination of two failures via an AND gate, however its limitation lies in the number of potential fault causes. The latter was overcome with the work of Pattipati [27], whose approach was based on Rao's work and was able to diagnose multiple failures in a system.…”

Section: Fault-tree Analysis For Diagnosis -A Brief Reviewmentioning

confidence: 99%

Fault diagnosis with matrix analysis for electrically actuated unmanned aerial vehicles

Kladis

Economou

Tsourdos

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part G:

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Because of their large operational potential, unmanned aerial vehicles (UAVs) may be required to perform over long periods of time, which might lead to potential degradation or even failure of their electrical or/and mechanical control surfaces and components. Consequently, the least failure can degrade the performance of the process and might lead to a catastrophic event. Therefore, an efficient mechanism should be capable of making these faults realizable and act accordingly so that a performance index is continuously maintained. However, even when a fault is detected at the monitoring phase, as illustrated in a previous work by Kladis and Economou [

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Section: Fault-tree Analysis For Diagnosis -A Brief Reviewmentioning

confidence: 99%

Fault diagnosis with matrix analysis for electrically actuated unmanned aerial vehicles

Kladis

Economou

Tsourdos

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…The issues involved with diagnosing single faults in systems are addressed by Rao [9]. Iverson and Pattersine-Hine [10] extend this approach by considering the combination of two failures via an AND gate, and identify the potential for real-time automated monitoring and diagnosis.…”

Section: Introductionmentioning

confidence: 99%

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

Kelly

Bartlett

2007

Proceedings of the Institution of Mechanical Engineers, Part O:

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The manuscript was received on 3 May 2007 and was accepted after revision for publication on 25 July 2007. DOI: 10.1243/1748006XJRR88Abstract: 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.

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“…Iverson and Pattersine-Hine [10] extend this approach to also consider the combination of two failures via an AND gate. This method has a use in real-time automated monitoring and diagnosis, although its limitation lies in the number of potential fault causes.…”

Section: Introductionmentioning

confidence: 99%