An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid
3D 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 maint...
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2023
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my.uniten.dspace-256372023-05-29T16:12:04Z An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid Mahmoud M.A. Tang A.Y.C. Kumar K. Law N.L.L.M.F. Gurunathan M. Ramachandran D. 55247787300 36806985400 57201875683 57210265164 57215588319 57220933571 3D 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; Forecasting Recent 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. Final 2023-05-29T08:12:04Z 2023-05-29T08:12:04Z 2020 Article 10.14569/IJACSA.2020.0111151 2-s2.0-85097863153 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097863153&doi=10.14569%2fIJACSA.2020.0111151&partnerID=40&md5=7afaf81e30b6b91c56775215b563cf23 https://irepository.uniten.edu.my/handle/123456789/25637 11 11 397 407 All Open Access, Gold Science and Information Organization Scopus |
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| description |
3D 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; Forecasting |
| author2 |
55247787300 |
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55247787300 Mahmoud M.A. Tang A.Y.C. Kumar K. Law N.L.L.M.F. Gurunathan M. Ramachandran D. |
| format |
Article |
| author |
Mahmoud M.A. Tang A.Y.C. Kumar K. Law N.L.L.M.F. Gurunathan M. Ramachandran D. |
| spellingShingle |
Mahmoud M.A. Tang A.Y.C. Kumar K. Law N.L.L.M.F. Gurunathan M. Ramachandran D. An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid |
| author_sort |
Mahmoud M.A. |
| title |
An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid |
| title_short |
An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid |
| title_full |
An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid |
| title_fullStr |
An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid |
| title_full_unstemmed |
An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid |
| title_sort |
ontology-based predictive maintenance tool for power substation faults in distribution grid |
| publisher |
Science and Information Organization |
| publishDate |
2023 |
| _version_ |
1806426500025548800 |
| score |
13.214268 |