Analysis of development directions of online diagnostics of synchronous generator

• Autorzy: Rubanenko Olena , Gundebommu Sree Lakshmi , Hunko Iryna , Peroutka Zdenek

Identyfikatory

DOI

10.15199/48.2021.04.04

Warianty tytułu

PL

Metody diagnostyki online generatorów synchronicznych

• Języki publikacji: EN

Abstrakty

EN

In this paper the analysis of online diagnostics of synchronous generations (SG) are presented. The main focus is done on different fault identification methods. The main causes for the failure of synchronous generators and the development of fault tree for different elements of synchronous generators are presented. Also presented the determination of the index of residual lifetime, for hydrogen cooled turbo generator of capacity 165 MW.

PL

W artykule przedstawiono stan wiedzy na temat różnych metod diagnostyki generatorów synchronicznych (SG). Szczególną uwagę zwraca się na metodologie identyfikacji awarii Przedstawiono główne awarie SG. W artykule stworzono drzewo błędów dla głównych elementów SG. Przedstawiono wyznaczenie wskaźnika resztkowej żywotności turbogeneratorów chłodzonych wodorem o mocy 165 MW.

Słowa kluczowe

EN

fault; diagnostic; electrical machine; reliability; artificial intelligence

PL

awaria; diagnostyka; maszyna elektryczna; Niezawodność; sztuczna inteligencja

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2021
• Tom: R. 97, nr 4
• Strony: 20--26
• Opis fizyczny: Bibliogr. 23 poz., rys., tab., wykr.

Twórcy

autor

Rubanenko Olena

• Regional Innovational Center at the Faculty of Electrical Engineering University of West Bohemia, Plzen, Czech Republic

autor

Gundebommu Sree Lakshmi

• CVR College of Engineering Mangalpalli, Hyderabad, India

autor

Hunko Iryna

• Vinnytsia National Technical University, Khmelnytsky highway 95, 21021, Vinnytsya, Ukraine

autor

Peroutka Zdenek

• Regional Innovational Center at the Faculty of Electrical Engineering University of West Bohemia, Plzen, Czech Republic

Bibliografia

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• [2] Report on the results of the activities of the National Commission for State Regulation in Energy and Utilities in 2018. NERCEP Resolution No. 440, 29.03.2019. 26 PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 97 NR 4/2021
• [3] G. Csaba, Generator diagnostics from failure modes to risk for forced outage [Online]. Available: https://irispower.com/wpcontent/ uploads/2018/06/
• [4] Available: https://eone.com/hydrogen-systems/technicalreprints/ condition-monitoring-turbine
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• [8] GenAdvisor monitoring and diagnosis system for turbogenerators. Available: https://assets.new.siemens.co
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• [16] O. Rubanenko, M. Grishchuk, and O. Rubanenko, "Planning of the experiment for the defining of the technical state of the transformer by using amplitude-frequency characteristic," Przeglad Elektrotechniczny, 96 (2020), nr 3, 119-124.
• [17] Z. Gao, C. Cecati, and S. X. Ding, A Survey of Fault Diagnosis and Fault-Tolerant Techniques – Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches, IEEE Transactions on Industrial Electronics, vol. 62 (2015), no. 6, 3757-3767.
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• [22] O. Rubanenko, O. Kazmiruk, V. Bandura, V. Matvijchuk, and O. Rubanenko, "Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters," Eastern-European Journal of Enterprise Technologies, Article vol. 4, (2017) no. 3-88, 66-79.
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).