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
26 | 04 | 2024
2018, 11 November

DOI: 10.14489/td.2018.11.pp.032-039

 

Stepanov S. E., Kryukov O. V.
CHOICE OF METHODS FOR MONITORING AND FORECASTING THE TECHNICAL CONDITION OF AUTOMATED ELECTRIC DRIVES OF POWER FACILITIES
(pp. 32-39)

Abstract. The analysis of monitoring methods of drive electric motors of powerful energy-intensive objects is presented on the example of electric drive gas compressor units of compressor stations of the main gas transport. The statistics of a technical condition and safety of functioning of drive turbocompressors on objects of PJSC "Gazprom" are offered. Operational factors affecting reliability of isolation of stator windings of high-voltage electric motors are considered. Hardware, methodological and algorithmic means of operative monitoring of the technical state and forecasting of trouble-free operation of synchronous motors are presented. It is shown that the introduction of modern and reliable means of monitoring the technical condition of aggregates and the forecast of their service life at compressor stations can significantly reduce operating costs and improve safety and trouble-free operation in the normal modes, as well as transition to maintenance and repair of the actual state of electric drives of electric power facilities.

Keywords: dangerous production facility, reliability, monitoring system, electric gas pumping unit, partial discharges, builtin monitoring and forecasting system.

 

S. E. Stepanov (JSC “Giprogazcenter”, Nizhny Novgorod, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
O. V. Kryukov (Nizhny Novgorod State Technical Universiti, n.a. R. E. Alekseev, Nizhny Novgorod, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

 

 

1. Parhomenko P. P. (Ed.), Sogomonyan E. S. (1981). Fundamentals of technical diagnostics (optimization of diagnostic algorithms, hardware). Moscow: Energiya. [in Russian language]
2. Kiyanov N. V., Kryukov O. V., Pribytkov D. N., Gorbatushkov A. V. (2007). A concept for the development of invariant automated electric drives for the water recycling systems with fan cooling towers. Russian Electrical Engineering, 78(11), pp. 621-627.
3. Kryukov O. V. Scientific background for the development of intelligent electric drives for oil and gas process units. Vestnik Yuzhno-Ural'skogo gosudarstvennogo universiteta. Seriya Energetika, 17(1), pp. 56-62.
4. Kryukov O. V. (2005). Algorithms for Fast Walsh Transformation in Microprocessor Controls for Electric Drives. Izvestiya vuzov. Elektromekhanika, (4), pp. 39-44. [in Russian language]
5. Kryukov O. V. (2017). Experience in designing an automated process control system for oil pumping stations of oil trunk pipelines. Pribory i sistemy. Upravlenie, kontrol', diagnostika, (1), pp. 2-7. [in Russian language]
6. Repin D. G., Kryukov O. V. (2017). Concepts of the monitoring system of the technical condition of compressor stations. Kontrol'. Diagnostika, (12), pp. 30-35. [in Russian language] DOI: 10.14489/td.2017.12.pp.030-035
7. Kryukov O. V., Titov V. G. (2012). Analysis of starting modes of electrically driven gas pumping units. Izvestiya vuzov. Elektromekhanika, (3), pp. 29-35. [in Russian language]
8. Zaharov P. A., Kryukov O. V. (2009). Methodology of invariant control of aggregates of compressor stations under random effects. Izvestiya vuzov. Elektromekhanika, (5), pp. 64-70. [in Russian language]
9. Kryukov O. V. (2013). Intelligent electric drives with IT algorithms. Automation and Remote Control, 74(6), pp. 1043-1048.
10. Kryukov O. V. (2013). Electric drive systems in compressor stations with stochastic perturbations. Russian Electrical Engineering, 84, pp. 135-138.
11. Kryukov O. V., Leonov V. P., Fedorov O. V. (1987). The use of microprocessor technology in loading devices. Dvigatelestroenie, (7), pp. 33-35. [in Russian language]
12. Kryukov O. V. (2016). Automated loading device for complex testing of piston engines. Dvigatelestroenie, (2), pp. 30-35. [in Russian language]
13. Babichev S. A., Zaharov P. A., Kryukov O. V. (2009). Monitoring of the technical condition of the driving electric motors of gas pumping units. Kontrol'. Diagnostika, (7), pp. 33-39. [in Russian language]
14. Kryukov O. V. (2005). Builtin system for diagnosing and predicting the operation of asynchronous electric drives. Izvestiya vuzov. Elektromekhanika, (6), pp. 43-47. [in Russian language]
15. Kryukov O. V., Serebryakov A. V. (2016). Artificial neural networks of technical state prediction of gas compressor units electric motors. Vestnik Yuzhno-Ural'skogo gosudarstvennogo universiteta. Seriya Energetika, 16(1), pp. 66-74.
16. Zaharov P. A., Kryukov O. V., Kiyanov N. V. (2008). Builtin system for diagnosing and predicting electrically driven gas pumping units. Kontrol'. Diagnostika, (11), pp. 43-49. [in Russian language]
17. Kryukov O. V. (2016). Approach to the prediction of the technical condition of electrically driven GPU. Pribory i sistemy. Upravlenie, kontrol', diagnostika, (9), pp. 30-34. [in Russian language]
18. Serebryakov A. V., Kryukov O. V. (2016). Universal monitoring system for gas compressor units electric motors. Izvestiya vuzov. Elektromekhanika, 546(4), pp. 74-81. [in Russian language]
19. Kryukov O. V. (2016). Monitoring of operating conditions of gas compressor units electric motors. Kontrol'. Diagnostika, (12), pp. 50-58. [in Russian language] DOI: 10.14489/td.2016.12.pp.050-058.

 

 

This article  is available in electronic format (PDF).

The cost of a single article is 350 rubles. (including VAT 18%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank.

After depositing your payment on our bank account we send you file of the article by e-mail.

To order articles please copy the article doi:

10.14489/td.2018.11.pp.032-039

and fill out the  form  

 

 

 
Search
Баннер
Rambler's Top100 Яндекс цитирования