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Keyword: Asset management
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Open AccessArticle
7 Pages, 1,287 KB Download PDF

Moving Towards Reliability-Centred Management of Energy, Power and Transportation Assets

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 369–375, 2017; DOI: 10.25046/aj020347
Abstract:

Infrastructure Asset Management was first adopted in 1980s for challenges faced by the utilities, road and rail transport systems, mining, process and manufacturing industries in asset life cycle value optimization. International standards ISO 55000 and PAS 55 were subsequently developed to provide a basis for a structured methodology in the development of Asset Management System.…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
20 Pages, 1,580 KB Download PDF

Condition Assessment of Medium Voltage Assets: A Review

Advances in Science, Technology and Engineering Systems Journal, Volume 8, Issue 5, Page # 35–54, 2023; DOI: 10.25046/aj080505
Abstract:

Condition assessment of medium voltage assets is essential to ensure reliability and cost-effective operation of power distribution networks. This article presents a literature review of condition assessment of medium voltage assets related to a distribution system in a non-interconnected zone in Colombia, namely, power transformers, photovoltaic systems, switchgear, lines and cables, and instrument transformers. Advanced…

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(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Electrical Engineering (ELE))
Open AccessArticle
13 Pages, 1,294 KB Download PDF

Economic Replacement of Plants and Equipment: A Decision-Making Framework in Engineering

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 5, Page # 20–32, 2025; DOI: 10.25046/aj100503
Abstract:

While prior research has focused on siloed approaches to equipment replacement, this study introduces an integrated decision-making framework that synergizes predictive maintenance (IoT/M), dynamic multi-criteria analysis (MCDM), and sustainability-driven material selection. By validating this model through cross-sector case studies and strategic operational planning across various industrial sectors. We demonstrate a 30% improvement in replacement timing…

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(This article belongs to Section Manufacturing Engineering (EMF))

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