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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=93385"><dc:title>Multiplicative method for assessing the technical condition of switching bay devices in a substation using maintenance priorities</dc:title><dc:creator>Ribič,	Janez	(Avtor)
	</dc:creator><dc:creator>Štumberger,	Gorazd	(Avtor)
	</dc:creator><dc:creator>Vodenik,	Marko	(Avtor)
	</dc:creator><dc:creator>Kerin,	Uroš	(Avtor)
	</dc:creator><dc:creator>Bečan,	Miha	(Avtor)
	</dc:creator><dc:creator>Šketa,	Anja	(Avtor)
	</dc:creator><dc:creator>Bokal,	Drago	(Avtor)
	</dc:creator><dc:creator>Kitak,	Peter	(Avtor)
	</dc:creator><dc:subject>condition-based maintenance</dc:subject><dc:subject>health index</dc:subject><dc:subject>circuit breaker</dc:subject><dc:subject>disconnector</dc:subject><dc:subject>instrument transformer</dc:subject><dc:subject>substation</dc:subject><dc:subject>failure mode analysis</dc:subject><dc:description>The results of the presented research are directly applicable to enhancing the maintenance strategies of transmission system operator (TSO) assets, particularly high-voltage switchyard equipment, and are extendable to other TSO systems. Furthermore, the proposed methodology lays the groundwork for the implementation of predictive maintenance. This paper introduces a novel methodology for assessing the technical condition of high-voltage switchyard devices—specifically, circuit breakers, disconnectors, and instrument transformers—within a high-voltage switching bay. The proposed model integrates multiplicative criteria, which reflect maintenance actions, and additive criteria, which capture the operational and maintenance history of individual devices. Supported by a newly developed data model, the methodology enables an automated assessment process that generates a c-curve representing the condition trajectory of each device or device type. Leveraging real-time data from the maintenance information system, this automated approach allows for the timely evaluation of a device’s technical state prior to scheduled maintenance. The resulting c-curve analysis supports strategic maintenance planning and prioritization. The proposed solutions have been implemented experimentally by TSO ELES.</dc:description><dc:publisher>MDPI</dc:publisher><dc:date>2025</dc:date><dc:date>2025-06-23 14:39:05</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>93385</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
