Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport

Sergey Nikischenkov; Oleg Kozmenkov; Irina Safronova

doi:10.20295/2412-9186-2025-11-02-120-136

UDC 681.518.5

ECONOMIC EFFICIENCY ASSESSMENT OF AUTOMATED MONITORING SYSTEMS FOR OIL TRANSFORMER TECHNICAL CONDITION IN RAILWAY TRANSPORT Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport

АА Аа

Published in Transport automation research · Volume 11, Issue 2 · Pages 120–136 · Rubric: Operation of transport systems

DOI: https://doi.org/10.20295/2412-9186-2025-11-02-120-136

Received: 11.06.2025 Accepted: 11.06.2025 Published: 11.06.2025

Authors

Sergey Nikischenkov

Oleg Kozmenkov

Irina Safronova

Sergey Nikischenkov

Academic degree: doctor of technical sciences

Science rang: professor

Volga State Transport University Russian Federation · Samara

Oleg Kozmenkov

Academic degree: candidate of technical sciences

Volga State Transport University (VSTU) Associate Professor · Department of Power Supply of Railway Transport · Russian Federation · Samara

Irina Safronova

Volga State Transport University (VSTU) Senior Lecturer · Department of Power Supply of Railway Transport · Russian Federation · Samara

ABSTRACT

This paper deals with various operational aspects of transformers, including traction substations of railway transport. It proposes the structure of an automated system for monitoring and diagnosing the technical condition of oil transformers, and selects the configuration and components of such a system for a typical railway traction substation. The complete set enables the maintenance and repair of oil transformers in accordance with their technical condition using a minimum number of system elements. An improved methodology for calculating the economic efficiency of an automated system for monitoring the technical condition of railway transport oil transformers has been developed. The methodology takes into account the minimum required equipment of the automated system for monitoring and diagnosing of the technical condition, type and purpose of the transformer, potential power failure and false alarms, the current regulatory framework, as well as the maintenance of the transformer in accordance with its technical condition. It has been estimated that the automated system for monitoring and diagnosing the technical condition of oil transformers on railway transport is economically efficient. This estimation is based on technical condition parameters.

KEYWORDS

oil transformers; residual life; predictive maintenance of transformers; automated system; monitoring; diagnostics of technical condition; cost effectiveness of diagnostic systems; payback period of the diagnostic system.

Text

Text (PDF)

Read Download

1. Dar'yan L. A. Specifika razrabotki podhoda k opredeleniyu tehniko-ekonomicheskoy celesoobraznosti primeneniya avtomatizirovannyh sistem monitoringa i tehnicheskogo diagnostirovaniya elektrosetevogo oborudovaniya / L. A. Dar'yan, N. L. Agraponova // Glavnyy energetik. — 2019. — № 11. — S. 25–32.

2. Nikischenkov S. A. O povyshenii effektivnosti innovacionnoy deyatel'nosti na zheleznyh dorogah / S. A. Nikischenkov // Transportnoe delo Rossii. — 2023. — № 6. — S. 45–47. — DOI:https://doi.org/10.52375/20728689_2023_6_44.

3. Puzina E. Yu. Ekonomicheskaya celesoobraznost' sistemy mnogokanal'nogo monitoringa silovyh maslonapolnennyh transformatorov tyagovyh podstanciy / E. Yu. Puzina, A. G. Tuygunova, I. A. Hudonogov // Sovremennye tehnologii. Sistemnyy analiz. Modelirovanie. — 2020. — № 2(66). — S. 83–92. — DOI:https://doi.org/10.26731/1813-9108.2020.2(66).83-92.

4. Laayati O. Smart Energy Management System: Oil Immersed Power Transformer Failure Prediction and Classification Techniques Based on DGA Data / O. Laayati, H. El Hadraoui, M. Bouzi, A. Chebak // 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), Meknes, Morocco. — 2022. — Pp. 1–6. — DOI:https://doi.org/10.1109/IRASET52964.2022.9737786.

5. Dar'yan L. A. Tehniko-ekonomicheskaya celesoobraznost' primeneniya sistem diagnosticheskogo monitoringa vysokovol'tnogo oborudovaniya / L. A. Dar'yan, P. V. Golubev, R. M. Obrazcov // Bibliotechka elektrotehnika. — 2020. — № 9(261). — S. 1–112.

6. Afanas'ev A. D. Metodika rascheta ekonomicheskoy effektivnosti primeneniya sistemy monitoringa transformatornogo oborudovaniya / A. D. Afanas'ev, A. O. Valuyskih, A. M. Zhukov i dr. // Elektroenergiya. Peredacha i raspredelenie. — 2018. — № 6(51). — S. 136–141.

7. Rigatos G. Incipient fault detection for electric power transformers using neural modeling and the local statistical approach to fault diagnosis / G. Rigatos, P. Siano, A. Piccolo // IEEE Sensors Applications Symposium Proceedings, Brescia, Italy. — 2012. — Pp. 1–6. — DOI:https://doi.org/10.1109/SAS.2012.6166269.

8. Alyunov A. N. Ob effektivnosti cifrovoy sistemy proaktivnoy diagnostiki silovyh transformatorov / A. N. Alyunov, O. S. Vyatkina, A. E. Nemirovskiy // Vestnik Irkutskogo gosudarstvennogo tehnicheskogo universiteta. — 2020. — T. 24. — № 5(154). — S. 966–976. — DOI:https://doi.org/10.21285/1814-3520-2020-5-966-976. Ekspluataciya transportnyh sistem Transport automation research. No 2, Vol. 11, June 2 025 135

9. Mandych I. A. Sovremennye metody rascheta ekonomicheskih pokazateley investicionnyh proektov / I. A. Mandych, V. B. Lyukmanov, I. G. Kudryavceva // Finansovyy menedzhment. — 2018. — № 1. — S. 60–69.

10. Dobrynin E. V. Cifrovaya podstanciya. Metod realizaii / E. V. Dobrynin, I. A. Efremova // Vestnik transporta Povolzh'ya. — 2020. — № 1(79). — S. 16–22.

11. Kozmenkov O. N. Sovremennye metody kontrolya i diagnostiki maslyanyh transformatorov / O. V. Tabakov, O. N. Kozmenkov, I. A. Efremova, A. M. Batischev // Neft'. Gaz. Novacii. — 2021. — № 5(246). — S. 61–65.

12. Balan A. Detection and Analysis of Faults in Transformer using Machine Learning / A. Balan, T. L. Srujan, P. V. Manitha, K. Deepa // International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India. — 2023. — Pp. 477–482. — DOI:https://doi.org/10.1109/IDCIoT56793.2023.10052786.

13. Nefelov I. S. Methods for increasing the accuracy of developing digital twins of machine parts with damage or wear of working surfaces / I. S. Nefelov, V. V. Filatov, V. N. Ivanovich et al. // T-Comm. — 2024. — Vol. 18. — Iss. 11. — Pp. 53–58. — DOI:https://doi.org/10.36724/2072-8735-2024-18-11-53-58.

14. Orlova E. V. A System Approach for Assesing an Economic Efficiency of Technological Innovation / E. V. Orlova // 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russia. — 2020. — Pp. 705–709. — DOI: 10.1109/ SUMMA50634.2020.9280725.

15. Rongping L. Evaluation and Analysis of Industrial Technology Innovation Efficiency in Hebei Province / L. Rongping, H. Yunhong // IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China. — 2021. — Pp. 525–528. — DOI: 10.1109/ IPEC51340.2021.9421106.

16. Semenov V. P. Soft Assessment of the Intelligent Information Systems Development Efficiency / V. P. Semenov, R. V. Sokolov, I. L. Andreevskiy // XXVII International Conference on Soft Computing and Measurements (SCM), Saint Petersburg, Russian Federation. — 2024. — Pp. 373– 375. — DOI:https://doi.org/10.1109/SCM62608.2024.10554250.

17. Kondrat'ev V. Yu. Ekonomicheskaya ocenka effektivnosti informacionnyh sistem metodikami investicionnogo analiza / V. Yu. Kondrat'ev, L. K. Efimiadi // Sovremennaya ekonomika: problemy i resheniya. — 2023. — № 11(167). — S. 58–72. — DOI: 10.17308/ meps/2078-9017/2023/11/58-72.

18. Panova A. V. Razrabotka metodiki ocenki ekonomicheskoy effektivnosti sistem diagnostiki transformatornogo oborudovaniya i povyshenie ekspluatacionnogo resursa elektroenergeticheskoy infrastruktury Vladimirskogo regiona / A. V. Panova, O. I. Monogarov // Ekonomika i predprinimatel'stvo. — 2014. — № 12-2(53). — S. 400–405.

19. Prikaz Ministerstva energetiki Rossiyskoy Federacii t 26.07.2017 № 676 «Ob utverzhdenii metodiki ocenki tehnicheskogo sostoyaniya osnovnogo tehnologicheskogo oborudovaniya i liniy elektroperedachi elektricheskih stanciy i setey». — URL: https://base.garant.ru/71779722/ (data obrascheniya: 24.04.2025).

20. GOST R 52719—2007. Transformatory silovye. Obschie tehnicheskie usloviya. — M.: Standartinform, 2007. — 34 s.

21. Pravila tehnicheskoy ekspluatacii elektroustanovok potrebiteley elektricheskoy energii (PTEEPEE). Glava 2.1. — URL: https://base.garant.ru/405399745/ (data obrascheniya: 26.04.2025).

22. Pravila ustroystva elektroustanovok (PUE). 2019. — P. 1.8.16, 2.1.34.

23. RTS-Tender (n. d.). Polucheno 10 marta 2025 goda s sayta https://www.rts-tender.ru.

24. Pis'mo Minstroya Rossii ot 01.02.2025 № 5170-IF/09 «O rekomenduemoy velichine indeksov izmeneniya smetnoy stoimosti stroitel'stva na I kvartal 2025 goda, v tom chisle velichine indeksov izmeneniya smetnoy stoimosti stroitel'no-montazhnyh rabot, indeksov izmeneniya smetnoy stoimosti puskonaladochnyh rabot, indeksov izmeneniya smetnoy stoimosti proektnyh i izyskatel'skih rabot». — URL: https://www.minstroyrf.gov.ru/docs/418752/ (data obrascheniya: 06.05.2025).

GOST

Nikischenkov S. A., Kozmenkov O. N., Safronova I. A. Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport // Transport automation research. 2025. no. 2. pp. 120-136. DOI: https://doi.org/10.20295/2412-9186-2025-11-02-120-136. (Date of access 25.09.2026).

MLA

Sergey Nikischenkov, Kozmenkov O. N., Safronova I. A.. "Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport." Transport automation research 11.2 (2025): 120-136. DOI: https://doi.org/10.20295/2412-9186-2025-11-02-120-136.

APA

Nikischenkov S. A., Kozmenkov O. N., Safronova I. A. (2025). Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport. Transport automation research, 11(2), 120-136. https://doi.org/10.20295/2412-9186-2025-11-02-120-136

Chicago

Sergey Nikischenkov, Kozmenkov O. N., Safronova I. A.. "Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport." Transport automation research 11, no. 2 (2025): 120-136. https://doi.org/10.20295/2412-9186-2025-11-02-120-136.

WIKI

{{cite journal | author = Nikischenkov S. A., Kozmenkov O. N., Safronova I. A. | title = Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport | journal = Transport automation research | year = 2025 | volume = 11 | issue = 2 | pages = 120-136 | doi = 10.20295/2412-9186-2025-11-02-120-136 }}

Copy

Export: BibTeX EndNote RefMan RusMARC

ECONOMIC EFFICIENCY ASSESSMENT OF AUTOMATED MONITORING SYSTEMS FOR OIL TRANSFORMER TECHNICAL CONDITION IN RAILWAY TRANSPORT Economic Efficiency Assessment of Automated Monitoring Systems for Oil Transformer Technical Condition in Railway Transport

Confirmation