Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/80031

Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid

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Title:Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid
Authors:Zur Heiden, Philipp
Priefer, Jennifer
Beverungen, Daniel
Keywords:GIS, Industry 4.0, and Sustainability
condition-based maintenance
design science research
energy distribution grid
geographic information system
show 1 moregeospatial data
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Date Issued:04 Jan 2022
Abstract:The energy distribution grid is a critical infrastructure challenged with shifting requirements induced by the skyrocketing importance of green energy. Particularly, legacy assets—such as medium-voltage switchgear cabinets and circuit breakers—need to be maintained to prevent energy outages and reduce resource consumption. While related research has abundantly presented algorithms for condition-based maintenance, no design knowledge is available to prescribe how an information system for this purpose ought to be designed. In a design science research project, we develop an information system for condition-based maintenance of legacy assets in the medium voltage distribution grid that utilizes geospatial data. Our design integrates Enterprise Resource Planning (ERP) functionality with Geographic Information Systems (GIS) and a Machine Learning System (MLS) for predicting outages. We demonstrate a current proof-of-concept and conclude by presenting a set of theoretical hypotheses that can guide the evaluation once the system is available.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/80031
ISBN:978-0-9981331-5-7
DOI:10.24251/HICSS.2022.692
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: GIS, Industry 4.0, and Sustainability


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