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Article
License: CC BY NC ND
Data sources: UnpayWall
https://doi.org/10.1109/ares.2...
Article . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
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Data sources: DBLP
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Application of the digraph method in system fault diagnostics

Authors: E. M. Kelly; Lisa M. Bartlett;

Application of the digraph method in system fault diagnostics

Abstract

There is an increasing demand for highly reliable systems in the safety conscious climate of today's world. When a fault does occur there are two desirable outcomes. Firstly, detection is required to discover whether functionality at a pre-determined level can be maintained and secondly, a necessary repair strategy is sought to minimise system disruption. Traditional focus on fault diagnosis has been through a sequential testing procedure or via real time mechanisms. The limitations have incorporated the issue of combining real time diagnosis; enabling fast analysis, with multiple fault causes. These issues are typical of critical situations within current complex system architectures. The diagnostic method suggested in this paper uses the digraph procedure, which represents the propagation of inputs through a system. The procedure involves generating a model; linking nodes referring to system parameters and determining the relationship(s) which connect the nodes. Fault detection occurs by means of tracing through the diagram. The method has been applied to a water tank system during steady state operation. Diagnosis is conducted by comparing readings from sensors in the system with expected readings, given the system mode of operation. The results demonstrate the effective use of this technique for fault diagnosis of the application system.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average