Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
| Русский Русский | English English |
 
Главная Current Issue
09 | 11 | 2026
2026, 11 November

DOI: 10.14489/td.2026.11.pp.041-050

Orlov A. A., Budadin O. N., Shcherbakov V. M., Fedotov M. Yu., Krylova E. V., Avdeev A. D., Kozelskaya S. O.
INTELLIGENT SUBSYSTEM FOR DIAGNOSING THE CONDITION AND AUTOMATIC BACKUP OF BATTERIES
(pp. 41-50)

Abstract. Ensuring uninterrupted power supply to the automated workstation (AWS) of the operator of the GTD‑110M gas turbine unit is a critical condition for the safe and reliable operation of the power unit, since the loss of the control interface in an emergency situation is equivalent to a complete loss of control over the technological process.  The main element of the guaranteed power supply system is the rechargeable batteries (RAB) of the uninterruptible power supply (UPS), the failure of which due to degradation processes (sulfation, corrosion, loss of capacity) creates a hidden threat of sudden de‑powering of the AWS. This paper addresses the problem of improving the reliability of backup power supply by developing a battery condition monitoring subsystem with automatic redundancy and predictive diagnostics functions. A system architecture based on a programmable logic controller is proposed, which ensures continuous monitoring of the voltage, temperature, and charge/discharge current of two independent groups of batteries, as well as periodic assessment of their residual capacity using controlled load testing.

Keywords: GTD-110M, automated operator workstation, uninterruptible power sup-ply, battery, technical condition monitoring, predictive diagnostics, redundancy, program-mable logic controller, Trace Mode 7.

A. A. Orlov (Federal State Budgetary Educational Institution of Higher Education "National Research University "MEI", Moscow, Russia, Russian Academy of Engineering, Moscow, Russia, Joint-stock company "Scientific, Educational, Industrial and Environmental Enterprise "Karat", Staroe Shatkino village, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
O. N. Budadin (JSC Central Research Institute of Special Machine Building, Khotkovo, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
V. M. Shcherbakov (Federal State Budgetary Educational Institution of Higher Education "National Research University "MEI", Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
M. Yu. Fedotov (Russian Academy of Engineering, Moscow, Russia, Kazan National Research Technical University named after A. N. Tupolev – KAI, Kazan, Russia)E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
E. V. Krylova (Federal State Budgetary Educational Institution of Higher Education "National Research University "MEI", Moscow, Russia, Joint-stock company "Scientific, Educational, Industrial and Environmental Enterprise "Karat", Staroe Shatkino village, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
A. D. Avdeev (Federal State Budgetary Educational Institution of Higher Education "National Research University "MEI", Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
S. O. Kozelskaya (JSC Central Research Institute of Special Machine Building, Khotkovo, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

1. Orlov, A. A., Krylova, E. V., Shcherbakov, V. M., & Avdeev, A. D. (2025). Intelligent monitoring and diagnostics system for gas turbine elements (ISMEGTU). Izvestiya vysshikh uchebnykh zavedeniy. Problemy energetiki, 27(2), 211–221. [in Russian language]. https://doi.org/10.30724/1998-9903-2025-27-2-211-221
2. Shcherbakov, V. M., Krylova, E. V., & Sirichenko, A. A. (2025). Intellectualization of automatic parametric diagnostics of powerful energy equipment. In Radioelectronics, Electrical Engineering and Energy: Abstracts of the XXXI International Scientific and Technical Conference of Students and Postgraduates (p. 988). TsPU "Raduga". [in Russian language].
3. Karpov, V. N., & Kolosovsky, V. V. (2007). Diagnostics of lead-acid batteries by EMF and electrolyte temperature. Vestnik Sankt-Peterburgskogo gosudarstvennogo agrarnogo universiteta, (6), 36–37. [in Russian language].
4. Gontovoy, E. A., Lobov, D. G., & Chupin, D. P. (2021). Thermal control of lead-acid batteries. Vestnik Omskogo gosudarstvennogo tekhnicheskogo universiteta, (1), 4–8. [in Russian language].
5. Dorozhko, S. V., Kudryavtsev, A. V., & Nesterenko, D. D. (2020). Analysis of methods for diagnostics of lead-acid batteries. In Sbornik nauchnykh trudov Stavropolskogo gosudarstvennogo agrarnogo universiteta (pp. 26–29). [in Russian language].
6. Tishchenko, O. O. (2022). Analysis of methods for monitoring the condition of lead-acid batteries and electric drives on electric vehicles. Vestnik Donskogo gosudarstvennogo tekhnicheskogo universiteta, (21–7), 58–61. [in Russian language].
7. Orlov, A. A., Krylova, E. V., Shcherbakov, V. M., et al. (2024). Intelligent system for automatic control of technological modes of an energy-intensive unit. In Elektrotekhnicheskaya stal 2024: Sbornik materialov nauchno-tekhnicheskoy konferentsii (pp. 13–14). NITU "MISIS". [in Russian language].
8. Postnikov, A. A. (2019). Estimation of errors in calculating the actual capacity of lead-acid batteries. Vestnik Ryazanskogo vysshego vozdushno-desantnogo komandnogo uchilishcha, (58), 61–63. [in Russian language].
9. Gontovoy, E. A., & Lobov, D. G. (2022). Study of the dependence of the internal resistance of a lead-acid battery on the residual charge. Vestnik Omskogo gosudarstvennogo tekhnicheskogo universiteta, 10(1), 60–64. [in Russian language].
10. Sieciński, S., Kostka, P. S., & Tkacz, E. J. (2020). Heart rate variability analysis on electrocardiograms, seismocardiograms and gyrocardiograms on healthy volunteers. Sensors, 20(16), Article 4522. https://doi.org/10.3390/s20164522
11. Orlov, A. A., Krylova, E. V., Sirichenko, A. V., et al. (2024). Application of the domestic microcontroller MIK-32 in the automation of diagnostic equipment in thermal power engineering. In Problemy sovremennoy teploenergetiki: Sbornik trudov Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii (pp. 192–199). Buk. [in Russian language].
12. Shcherbakov, V. M., & Pytkina, E. A. (2024). Intellectualization of automated parametric diagnostics of high-power gas turbine engine elements. In Radioelectronics, Electrical Engineering and Energy: Abstracts of the XXX International Scientific and Technical Conference of Students and Postgraduates (p. 1040). TsPU "Raduga". [in Russian language].

This article  is available in electronic format (PDF).

DOI: 10.14489/td.2026.11.pp.041-050

Copy the article DOI and follow the link https://id-spektr.ru/product/pokupka-elektronnoy-stati-iz-zhurnala-kontrol-diagnostika

Please specify the article DOI in the order comments.

 

 

 
Search