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dc.contributor.authorMoghaddam, Mahboobeh
dc.contributor.authorNejad, Hamid Shobeiri
dc.contributor.authorMesbah, Mahmoud
dc.contributor.authorHickman, Mark
dc.date.accessioned2020-02-18T04:32:53Z
dc.date.available2020-02-18T04:32:53Z
dc.date.issued2018
dc.identifier.issn1475-3219
dc.identifier.doi10.1504/ijcis.2018.094412
dc.identifier.urihttp://hdl.handle.net/10072/391650
dc.description.abstractTelecommunication companies who face challenges of aging infrastructure need to balance the cost of maintenance with that of providing their services within a service level guarantee. For Telstra, the largest telecommunication company in Australia, this balance is achieved by adopting a passive approach to handle the faults that occur in the network. Rather than actively preventing faults, technicians are assigned to fix faults in a timely manner. However, to achieve an efficient and timely technician assignment, a prediction model is needed to advise planners of the potential number of faults in the network. From statistical analysis, we have developed a fault prediction model by investigating 29 months of data of faults. Our prediction model shows that rain has a significant impact on the number of faults in many areas across Australia, which can be the result of the aging infrastructure.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherInderscience Publishers
dc.relation.ispartofpagefrom268
dc.relation.ispartofpageto293
dc.relation.ispartofissue3
dc.relation.ispartofjournalInternational Journal of Critical Infrastructures
dc.relation.ispartofvolume14
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchcode0905
dc.titleDeveloping a fault prediction model for wired copper networks under precipitation
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationMoghaddam, M; Nejad, HS; Mesbah, M; Hickman, M, Developing a fault prediction model for wired copper networks under precipitation, International Journal of Critical Infrastructures, 2018, 14 (3), pp. 268-293
dc.date.updated2020-02-18T04:27:25Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2018 Inderscience Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorShobeiri Nejad, Hamid A.


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