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dc.contributor.authorHe, Y.
dc.contributor.authorTan, Y.
dc.contributor.authorSun, Y.
dc.date.accessioned2011-11-22T10:01:19Z
dc.date.available2011-11-22T10:01:19Z
dc.date.issued2002
dc.identifier.citationHe , Y , Tan , Y & Sun , Y 2002 , A neural network approach for fault diagnosis of large-scale analogue circuits . in Procs IEEE Int Symposium on Circuits & Systems : ISCAS 2002 . vol. 1 , IEEE , pp. 153-156 . https://doi.org/10.1109/ISCAS.2002.1009800
dc.identifier.isbn0-7803-7448-7
dc.identifier.otherPURE: 457049
dc.identifier.otherPURE UUID: d2398b28-4ee8-4438-b748-120057528a74
dc.identifier.otherdspace: 2299/4763
dc.identifier.otherScopus: 0036286696
dc.identifier.urihttp://hdl.handle.net/2299/7071
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dc.description.abstractAn approach for fault diagnosis of large-scale analogue circuits using neural networks is presented in the paper. This method is based on the fault dictionary technique, but it can deal with soft faults due to the robustness of neural networks. Because the neural networks can create the fault dictionary, memorize and verify it simultaneously, computation time is drastically reduced. Rather than dealing with the whole circuit directly, the proposed approach partitions a large-scale circuit into several small sub-circuits and then tests each sub-circuit using the neural network method. The principle and diagnosis procedure of the method are described. Two examples are given to illustrate the method for both small and large-scale circuits.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProcs IEEE Int Symposium on Circuits & Systems
dc.rightsOpen
dc.titleA neural network approach for fault diagnosis of large-scale analogue circuitsen
dc.contributor.institutionSchool of Engineering and Technology
dc.relation.schoolSchool of Engineering and Technology
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2002
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1109/ISCAS.2002.1009800
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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