Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Zlatan Stojković"'
Publikováno v:
2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH).
Publikováno v:
Electrical Engineering. 104:1503-1513
In this paper, an artificial intelligence (AI) system is created in order to overcome difficulties in extracting information about electrical generator stator condition from data generated during offline electrical testing. The proposed AI system wil
Publikováno v:
IET Generation, Transmission & Distribution. 14:1021-1030
Monitoring and diagnostics of metal-oxide surge arresters (MOSAs) have been a research topic for decades. During these years, many monitoring and diagnostic methods have been developed. However, only a few studies perform a comparative analysis of th
Autor:
Aleksandar Simovic, Dragan Manjak, Miodrag Forcan, Aleksandar Lemez, Zlatan Stojković, Marko C. Boskovic
Publikováno v:
2021 25th International Conference on Information Technology (IT).
Computer-aided modeling of low-voltage distribution transformer plays an important role in distribution system analysis. The guidelines for transformer model construction are given in this paper. Constructed simplified low voltage single-phase transf
Publikováno v:
The 12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2020).
This paper presents intelligent algorithms applied to power transformer monitoring data. Algorithms illustrate how to use big data obtained during the exploitation of power transformers in order to create optimal maintenance plan. The related databas
Autor:
Zlatan Stojković, Mileta Žarković
Publikováno v:
IET Generation, Transmission & Distribution. 9:1935-1945
This study deals with the condition monitoring of high voltage equipment (HVE) and risk assessment in transmission power systems. Artificial intelligence is applied to use the currently available information to calculate operational risk, and take ap
Publikováno v:
Electric Power Systems Research. 127:206-212
In this paper, a new kind of overhead transmission line (OHL) lightning protection system based on external ground wires is analyzed. Instead of a standard ground wire, two ground wires placed at the top of separate external towers located at both si
Publikováno v:
Electric Power Systems Research. 119:76-82
This paper deals with the problem of metal-oxide surge arrester (MOSA) diagnostics. The proposed methodology is based on a genetic algorithm optimization technique. The genetic algorithm (GA) is applied to determine the parameters of MOSA equivalent
Autor:
Mileta Žarković, Zlatan Stojković
Publikováno v:
The International Journal of Electrical Engineering & Education. 52:81-96
This paper presents two methods for condition monitoring of high-voltage equipment based on the thermography approach. The overheating temperature of the hot spot has been obtained using the performed thermography procedure. MATLAB® technical comput
Autor:
Mileta Žarković, Zlatan Stojković
Publikováno v:
Electric Power Systems Research. 175:105912
This paper presents advance artificial intelligence (AI) methods for health assessment of high voltage SF6 circuit breakers. Paper presents an overview of monitoring and diagnostics of most important indicators of the state of high voltage SF6 circui