Publication:
An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid

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dc.citedby3
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorTang A.Y.C.en_US
dc.contributor.authorKumar K.en_US
dc.contributor.authorLaw N.L.L.M.F.en_US
dc.contributor.authorGurunathan M.en_US
dc.contributor.authorRamachandran D.en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid36806985400en_US
dc.contributor.authorid57201875683en_US
dc.contributor.authorid57210265164en_US
dc.contributor.authorid57215588319en_US
dc.contributor.authorid57220933571en_US
dc.date.accessioned2023-05-29T08:12:04Z
dc.date.available2023-05-29T08:12:04Z
dc.date.issued2020
dc.description3D modeling; Electric power transmission networks; Electric substations; Knowledge based systems; Maintenance; Ontology; Outages; Distribution grid; Failure prediction models; Hybrid simulation; Ontology's; Ontology-based; Power grids; Power substation fault; Power substations; Predictive maintenance; Simulation platform; Forecastingen_US
dc.description.abstractRecent advances in Power Grid (PG) technology pose an important problem of measuring the effectiveness of power grid configurations. Current assessment models are not adequate to mitigate the setup issues due to the absence of a high-fidelity evaluation framework that can consider diverse scenarios based on the market interest. Consequently, we develop a highly flexible Ontology-based Evaluation System that can accommodate and assess different scenarios. The use of ontology as middleware is the best approach to produce an efficient, semantically aware, and operationally accurate system environment for managing flexibility in evaluation. The evaluation is made by predicting the failure intensity and subsequently generate a maintenance report of a particular configuration. The selection of the best configuration is made by comparing the maintenance report of different configurations. The developed evaluation system consists of three main components which are Configuration Generator Tool (GCT), Failure Prediction Model (FDM), and Hybrid Simulation Platform (HSP). The GCT is a knowledge-based system that provides a powerful tool for engineers to generate alternative configurations. The GCT data were collected from literature, validated by experts, and modeled using Web Ontology Language (OWL). While the HSP was developed using several modelings and ontology-based tools such as blender 3D modeling, unity 3d, asp.net, my sql, and apache Jena fuseki. Finally, the FDM was developed based on the impact and relationship of odd events to power grid components and the impact of a failed component to other components, the prediction is modeled using two methods Poisson Model and Likelihood Estimation Method. � 2020. All Rights Reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14569/IJACSA.2020.0111151
dc.identifier.epage407
dc.identifier.issue11
dc.identifier.scopus2-s2.0-85097863153
dc.identifier.spage397
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097863153&doi=10.14569%2fIJACSA.2020.0111151&partnerID=40&md5=7afaf81e30b6b91c56775215b563cf23
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25637
dc.identifier.volume11
dc.publisherScience and Information Organizationen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleInternational Journal of Advanced Computer Science and Applications
dc.titleAn Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Griden_US
dc.typeArticleen_US
dspace.entity.typePublication
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