Izvorni znanstveni članak
Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology
Richard K. Ladroga
Puni tekst: engleski pdf 917 Kb
str. 78-85
preuzimanja: 90
citiraj
APA 6th Edition
Ladroga, R.K. (2022). Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology. Transformers Magazine, 9 (SE2), 78-85. Preuzeto s https://hrcak.srce.hr/286643
MLA 8th Edition
Ladroga, Richard K.. "Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology." Transformers Magazine, vol. 9, br. SE2, 2022, str. 78-85. https://hrcak.srce.hr/286643. Citirano 25.04.2024.
Chicago 17th Edition
Ladroga, Richard K.. "Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology." Transformers Magazine 9, br. SE2 (2022): 78-85. https://hrcak.srce.hr/286643
Harvard
Ladroga, R.K. (2022). 'Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology', Transformers Magazine, 9(SE2), str. 78-85. Preuzeto s: https://hrcak.srce.hr/286643 (Datum pristupa: 25.04.2024.)
Vancouver
Ladroga RK. Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology. Transformers Magazine [Internet]. 2022 [pristupljeno 25.04.2024.];9(SE2):78-85. Dostupno na: https://hrcak.srce.hr/286643
IEEE
R.K. Ladroga, "Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology", Transformers Magazine, vol.9, br. SE2, str. 78-85, 2022. [Online]. Dostupno na: https://hrcak.srce.hr/286643. [Citirano: 25.04.2024.]
Sažetak
The electrical power grid and the apparatus are often subject to online monitoring in order to log data for further analysis in the case of an error or failure. Several levels of maintenance testing and maintenance generations are discussed in the article. Nowadays, they are often using electromagnetic signature analysis technology. The most advanced preventive maintenance and testing paradigm incorporates Artificial Intelligence into the analysis.
Ključne riječi
artificial intelligence, electrical power grid, electromagnetic signature analysis, diagnostics, maintenance, online monitoring, radio frequency current transformer, testing methodology
Hrčak ID:
286643
URI
https://hrcak.srce.hr/286643
Datum izdavanja:
29.11.2022.
Posjeta: 232
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