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dc.contributor.authorHu, W.
dc.contributor.authorStarr, A.
dc.contributor.authorLeung, A.
dc.date.accessioned2008-07-21T12:47:06Z
dc.date.available2008-07-21T12:47:06Z
dc.date.issued1999
dc.identifier.citationHu , W , Starr , A & Leung , A 1999 , ' Two diagnostic models for PLC controlled flexible manufacturing systems ' , International Journal of Machine Tools and Manufacture , vol. 39 , no. 12 , pp. 1979-1991 . https://doi.org/10.1016/S0890-6955(99)00022-X
dc.identifier.issn0890-6955
dc.identifier.otherPURE: 114564
dc.identifier.otherPURE UUID: c2abc8b9-9f3a-4233-9a5d-d4482a6f24cb
dc.identifier.otherdspace: 2299/2242
dc.identifier.otherScopus: 0033339157
dc.identifier.urihttp://hdl.handle.net/2299/2242
dc.descriptionOriginal article can be found at: http://www.sciencedirect.com/science/journal/08906955 Copyright Elsevier Ltd.
dc.description.abstractThe control of flexible manufacturing systems (FMS’s) is generally characterised by logical and sequential functions under the auspices of a programmable logic controller (PLC). Operational faults associated with control processes are often confusing to maintenance personnel at workshop level. This has resulted in the development of automatic diagnosis techniques. In this paper two generic diagnostic models based on the logical function chart and sequential control process of the PLC are developed. With the two complementary models, the major operational faults of PLC controlled FMS’s can be diagnosed. Application of the models to a typical FMS is presented.en
dc.language.isoeng
dc.relation.ispartofInternational Journal of Machine Tools and Manufacture
dc.titleTwo diagnostic models for PLC controlled flexible manufacturing systemsen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionOffice of the Vice-Chancellor
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1016/S0890-6955(99)00022-X
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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