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dc.contributor.authorAdams, Jen
dc.contributor.authorParlikad, Ajithen
dc.date.accessioned2017-03-29T09:42:37Z
dc.date.available2017-03-29T09:42:37Z
dc.date.issued2015-11-25en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/263309
dc.description.abstractThe need to prioritize maintenance activities and investments based on asset criticality and associated risk is seen increasingly as important in industry. However, proper use of criticality in developing maintenance strategies and plans is still at a nascent stage in most organisations. A review of industrial practices showed that criticality is considered as more or less a static quantity that is not updated with sufficient frequency as the operating environment changes. This paper examines an electricity distribution network operator (DNO) to show the need to model the changing nature of criticality and ensure an optimal maintenance strategy and plan, aligned to business needs. A Dynamic Criticality Based Maintenance (DCBM) methodology is proposed to identify factors affecting and influencing changes to criticality, monitor and update asset criticality and exploit the dynamic criticality to optimise maintenance decisions. Asset criticality was calculated using network performance, safety, environmental integrity, maintenance cost among other factors as the consequence categories for asset failure. The criticality for each asset (such as transformer circuit breakers, busbars etc.) is calculated as a weighted sum of the impact of supply loss on each of the consequence categories. Variations in some factors such as electricity demand influences changes in asset criticality with time and therefore criticality is modelled as a dynamic process, which is a function of time in addition to other factors. The performance measure used for the maintenance plan is based on the utility network reliability (quality of service) which is measured in terms of Customer Interruptions (CI) and Customer Minutes Lost (CML). The performance targets (for CIs & CMLs) and standard service levels for DNOs are given in the UK's Office of Gas and Electricity Markets (OFGEM). The results showed evidence of changing asset criticality in the network. The benefit of reviewing maintenance plans based on changing criticality was also highlighted.
dc.language.isoenen
dc.publisherInstitution of Engineering and Technology
dc.subjectreal-time criticalityen
dc.subjectmaintenance strategyen
dc.subjectinfluence factorsen
dc.subjectasseten
dc.titleDynamic maintenance based on criticality in electricity networksen
dc.typeConference Object
prism.publicationDate2015en
prism.publicationNameProceedings of the 5th IET/IAM Asset Management Conferenceen
dc.identifier.doi10.17863/CAM.8645
dcterms.dateAccepted2015-10-06en
rioxxterms.versionofrecord10.1049/cp.2015.1713en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2015-11-25en
dc.contributor.orcidParlikad, Ajith [0000-0001-6214-1739]
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (645733)
pubs.conference-name5th IET/IAM Asset Management Conferenceen
pubs.conference-start-date2015-11-25en


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