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Advantages of Using Diagnostic and Monitoring Data for Intelligent Condition Monitoring of Power Network Equipment (CROSBI ID 735269)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Jurišić, Bruno ; Župan, Tomislav ; Schönberger, Marin ; Teklić, Ljupko ; Levačić, Goran ; Gazivoda, Siniša Advantages of Using Diagnostic and Monitoring Data for Intelligent Condition Monitoring of Power Network Equipment // Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023) / Konjevod, Jure ; Šala, Alan ; Mostarac, Petar (ur.). Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2023. str. 123-126

Podaci o odgovornosti

Jurišić, Bruno ; Župan, Tomislav ; Schönberger, Marin ; Teklić, Ljupko ; Levačić, Goran ; Gazivoda, Siniša

engleski

Advantages of Using Diagnostic and Monitoring Data for Intelligent Condition Monitoring of Power Network Equipment

Every transmission system operator needs to be able to provide its services reliably and cost- effectively. In order to determine the state of the vital electrical equipment in service, two main approaches are nowadays being used: periodic data provided through a set of defined diagnostic measurements and online data that originates from modern monitoring systems. Modern guidelines suggest combining these two datasets in order to have a more economic and technically more detailed insight into the behavior of equipment, as well as providing a number of additional benefits, such as increasing the reliability of the power supply, detailed planning and efficient upgrade of the power network. This paper presents guidelines on how to implement such a solution and shows the advantages of using this type of intelligent condition monitoring for transmission system operators’ fleet asset management.

intelligent condition monitoring, diagnostic measurements, monitoring systems, transmission system operator

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Podaci o prilogu

123-126.

2023.

objavljeno

Podaci o matičnoj publikaciji

Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023)

Konjevod, Jure ; Šala, Alan ; Mostarac, Petar

Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

978-953-184-284-6

Podaci o skupu

Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023)

predavanje

24.04.2023-28.04.2023

Cavtat, Hrvatska

Povezanost rada

Elektrotehnika