Original scientific paper
Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology
Richard K. Ladroga
Full text: english pdf 917 Kb
page 78-85
downloads: 153
cite
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. Retrieved from 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, no. SE2, 2022, pp. 78-85. https://hrcak.srce.hr/286643. Accessed 27 Dec. 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, no. 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), pp. 78-85. Available at: https://hrcak.srce.hr/286643 (Accessed 27 December 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 [cited 2024 December 27];9(SE2):78-85. Available from: 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, no. SE2, pp. 78-85, 2022. [Online]. Available: https://hrcak.srce.hr/286643. [Accessed: 27 December 2024]
Abstract
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.
Keywords
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
Publication date:
29.11.2022.
Visits: 517
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