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Predicting remaining life of lattice steel transmission tower based on condition assessment and corrosion hazard data

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dc.contributor.authorUsman F.en_US
dc.contributor.authorKhalid N.H.N.en_US
dc.contributor.authorid55812540000en_US
dc.contributor.authorid58077885700en_US
dc.date.accessioned2023-05-29T09:05:28Z
dc.date.available2023-05-29T09:05:28Z
dc.date.issued2021
dc.description.abstractThis paper presents a novel approach for predicting the remaining life of lattice steel transmission towers in Malaysia. The transmission tower components assessment grouped into ground corrosive condition, foundation condition, lattice steel body of the tower, and conductor. Significant and scientific field investigation and visual assessment evaluate the state of the tower. The corrosion hazard, which is a product of climate and air pollution data, is used. Three separated lines and 84 towers were selected with different ages of the tower in service. The Weighing Scoring Method with Analytical Hierarchy Process to impose the weighed factor was used. The survival function analysis is used to predict service life, and the tower remaining life was determined. The paper shows how to use the model to predict the remaining life of a transmission tower and how this can be used to advise maintenance planning. � The Authors, published by EDP Sciences.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1011
dc.identifier.doi10.1051/e3sconf/202132501011
dc.identifier.scopus2-s2.0-85146777319
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85146777319&doi=10.1051%2fe3sconf%2f202132501011&partnerID=40&md5=977377812c59196b7e044a999efaaafd
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25899
dc.identifier.volume325
dc.publisherEDP Sciencesen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleE3S Web of Conferences
dc.titlePredicting remaining life of lattice steel transmission tower based on condition assessment and corrosion hazard dataen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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