Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mileta Žarković"'
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 156, Iss , Pp 109779- (2024)
This paper presents machine learning methods for health assessment of power transformer based on sweep frequency response analysis. The paper presents an overview of monitoring and diagnostics based on statistical Sweep Frequency Response Analysis (S
Externí odkaz:
https://doaj.org/article/6ab6998abb904c04ba0a0479f912cb09
Autor:
Mileta Žarković, Goran Dobrić
Publikováno v:
Energies, Vol 17, Iss 7, p 1580 (2024)
The digitization of distribution power systems has revolutionized the way data are collected and analyzed. In this paper, the critical task of harnessing this information to identify irregularities and anomalies in electricity consumption is tackled.
Externí odkaz:
https://doaj.org/article/58e83b5261834547b4b1470dd512281f
Autor:
Stevan Savić, Miloš Bjelić, Dragana Šumarac-Pavlović, Dragan Milošević, Jelena Dunjić, Lazar Lazić, Mileta Žarković, Tatjana Miljković
Publikováno v:
Geographica Pannonica. 26:396-405
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce2c36b2b9b75f0343ea7442668b30ee
https://doi.org/10.5937/gp26-41319
https://doi.org/10.5937/gp26-41319
Autor:
Aleksandar Milićević, Srđan Belošević, Mileta Žarković, Ivan Tomanović, Nenad Crnomarković, Andrijana Stojanović, Goran Stupar, Lei Deng, Defu Che
Publikováno v:
Biomass and Bioenergy
When planning the development of the energy sector, significant attention is given to the energy from the renewable sources, amongst which the biomass has an important role. Computational fluid mechanics and machine learning models are the powerful a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91c2bd7857fbb59f5ee130648201f99b
https://vinar.vin.bg.ac.rs/handle/123456789/11021
https://vinar.vin.bg.ac.rs/handle/123456789/11021
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ee453bd6c46846df6fbbad5257468c
https://doi.org/10.1007/s00202-021-01402-6
https://doi.org/10.1007/s00202-021-01402-6
This paper presents machine learning methods for health assessment of power transformer based on sweep frequency response analysis. The paper presents an overview of monitoring and diagnostics based on statistical Sweep Frequency Response Analysis (S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2fc088b3fdb899f67309f9ad1fe388f
https://doi.org/10.21203/rs.3.rs-2193409/v1
https://doi.org/10.21203/rs.3.rs-2193409/v1
Autor:
Denis Ilić, Mileta Žarković, Momčilo Milić, Đorđe Jovanović, Radmila Partonjić, Nikola Stanojević
Publikováno v:
Zbornik radova Elektrotehnicki institut Nikola Tesla. 31:103-112
During operation, the electrical insulation system (EIS) of high-voltage motors is exposed to various factors that can accelerate its aging. Timely knowledge of the actual state of the EIS is of great help in allocating funds for service activities.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::837d3c37a486fed544574a84a5977f48
https://doi.org/10.5937/zeint31-34709
https://doi.org/10.5937/zeint31-34709
Autor:
Zoran N. Stojanović, Mileta Žarković
Publikováno v:
IET Generation, Transmission & Distribution. 14:2829-2838
In this study, algorithm for a directional earth-fault relay is modified to work properly without voltage inputs. The presented modification of the algorithm implies that only current inputs are required, and the algorithm is used in isolated neutral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dbf77099888ff4d4e56a4ed85560abd
https://doi.org/10.1049/iet-gtd.2019.0763
https://doi.org/10.1049/iet-gtd.2019.0763
Publikováno v:
Zbornik radova Elektrotehnicki institut Nikola Tesla. 30:1-9
The unconventional UHF (Ultra High Frequency) method of measuring partial discharges (PD) is based on measuring electromagnetic waves (EM) in the UHF frequency band (300-3000) MHz, using appropriate antennas. This method is unconventional, but is wid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f77d9f3b1669fc3b37874faa592e4d1c
https://doi.org/10.5937/zeint30-28749
https://doi.org/10.5937/zeint30-28749
Publikováno v:
Open Research Europe
Industrial facilities represent a specific environment for the deployment and coordination of electric energy sources and storage systems. Large areas (roofs, parking lots, etc.) and land and terrain specificities enable various systems with high ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c904fcab5c1c8e6ad46a134696796dc
https://doi.org/10.12688/openreseurope.15286.1
https://doi.org/10.12688/openreseurope.15286.1