IMPROVING THE METHODS OF DIAGNOSING ELECTRIC MACHINES OF LOCOMOTIVES ACCORDING TO THE DATA OF MICROPROCESSOR CONTROL SYSTEMS

Receipt date: 
30.04.2019
Bibliographic description of the article: 

Abolmasov A. A., Lisin D. O., Mel'nikov V. A.  Sovershenstvovanie metodov diagnostirovaniya elektricheckikh mashin lokomotivov po dannym mikroprotsessornykh sistem upravleniya [Improving the methods of diagnosing electric machines of locomotives according to the data of microprocessor control systems]. Sovremennye tekhnologii. Sistemnyi analiz. Modelirovanie [Modern Technologies. System Analysis. Modeling], 2019. Vol. 63, No. 3, pp. 69–75. DOI: 10.26731/1813-9108.2019.3(63).69–75

Section: 
Year: 
2019
Journal number: 
УДК: 
629.41
DOI: 

10.26731/1813-9108.2019.3(63).69–75

Article File: 
Pages: 
69
75
Abstract: 

Since 2012 LokoTech-Service OOO uses data from on-board microprocessor systems (hereinafter MCS) of locomotives for their diagnosis in service locomotive depots (hereinafter SLD). The proven economic effect of reducing the cost of servicing locomotives in 2015 alone exceeded 100 mln. The “Smart Locomotive” project (hereinafter referred to as SL), implemented by Clover Group OOO by order of Locomotive Technologies OOO since 2016 sets itself the ambitious task of organizing the collection and centralized analysis of MCS data of all the locomotives of the new series that are serviced by LokoTekh-Service OOO. At the moment, the system is in permanent operation by diesel locomotives of classes 2(3)TE116U, TEP70BS(U) and 2TE25KM(A) and in experimental operation by electric locomotives of classes 2(3,4)ES5K, EP1M(P), 2(3)ES4K and EP2K. The project implementation involves the introduction of an automated workplace (hereinafter  SL AWP) in the already existing SLD diagnostic groups, through which it will be possible to perform not only the automated decoding of the MCS data, but also the data transfer to the SL server for further processing. Despite the fact that SL AWP is in experimental operation only by diesel locomotives, the processing and uploading of data to the server is now carried out in 35 of 54 SLDs included in the project perimeter. However, the possibilities of diagnostics and prediction of residual life are largely limited to existing methods of processing diagnostic information. One of the ways to improve the accuracy of data analysis is considered in this article.

List of references: 

1.   Lipa K.V., Belinskii A.A., Pustovoi V.N., Lyangasov S.L., Lakin I.K., Abolmasov A.A., Mel'nikov V.A., Lakin I.I., Barkunova A.A., Pustovoi I.V. Monitoring tekhnicheskogo sostoyaniya i rezhimov ekspluatatsii lokomotivov: teoriya i praktika [Monitoring the technical condition and operating modes of locomotives: theory and practice]. Moscow: OOO «Lokomotivnye Tekhnologii» Publ., 2015. 212 p.

2.   Lipa K.V., Belinskii A.A., Pustovoi V.N., Lakin I.K., Pustovoi I.V., Lakin I.K. et al. Upravlenie zhiznennym tsiklom lokomotivov v gruppe kompanii «Lokomotivnye tekhnologii». Teoriya i praktika [Locomotive life cycle management in the Locomotive Technologies group of companies. Theory and practice]. Moscow: OOO «Lokomotivnye Tekhnologii» Publ., 2017. 212 p.

3.   Kasimov D.B., Obukhov A.D., Mel'nikov V.A. Razrabotka optimizirovannoi modeli tyagovykh resursov na poligone zheleznoi dorogi s uchetom realizatsii prediktivnoi analitiki tekhnicheskogo sostoyaniya lokomotivnogo parka [Development of an optimized model of traction resources at the railway training ground, taking into account the implementation of predictive analytics of the technical condition of the locomotive fleet]. Sbornik materialov I Natsional'noi nauchno-prakticheskoi konferentsii «Sovremennye tekhnologii upravleniya transportnym kompleksom Rossii: innovatsii, effektivnost', rezul'tativnost'» [The collection of materials of the 1st National Scientific and Practical Conference "Modern Technologies for Transport Management in Russia: Innovation, Efficiency, Progress"], 2018. Pp. 100–106.

4.   Lakin I.K., Pavlov V.V., Mel'nikov V.A. «Umnyi lokomotiv»: Diagnostirovanie tyagovykh elektrodvigatelei teplovozov s ispol'zovaniem metodov mashinnogo obucheniya [Smart Locomotive: Diagnosing traction electric motors of diesel locomotives using machine learning methods]. Transport Rossiiskoi Federatsii [The transport of the Russian Federation], 2018. No.1 (74). Pp. 53–36.

5.   Lipa K.V., Grinenko V.I., Lyangasov S.L., Lakin I.K., Abolmasov A.A., Mel'nikov V.A. Avtomatizirovannaya sistema upravleniya nadezhnost'yu lokomotivov (ASUNT). Kontseptsiya TMKh-Servis [Automated Locomotive Reliability Management System (ACCNT). The concept of TMX-Service]. Moscow: OOO «TMKh-Servis», 2012. 160 p.

6.   Lakin I.K., Abolmasov A.A., Mel'nikov V.A. Model' upravleniya riskami otkazov lokomotivov [Locomotive Failure Risk Management Model]. Mir transporta [The world of transport], 2013. No. 4. Pp. 130.

7.   Mel'nikov V.A. Tipovye neispravnosti lokomotivov po dannym bortovykh sistem. Opyt TMKh-Servis [Typical malfunctions of locomotives according to on-board systems. Experience of TMX-Service]. Ekspluatatsionnaya nadezhnost' podvizhnogo sostava. Tezisy mezhdunarodnoi nauchno-prakticheskoi konferentsii [Operational reliability of rolling stock. Abstracts of an international scientific and practical conference], 2013. P. 234.

8.   Mel'nikov V.A. Opyt monitoringa teplovozov po dannym bortovykh mikroprotsessornykh sistem [The experience of monitoring locomotives according to onboard microprocessor systems]. Nauka MIITa – transportu [The science of Moscow Institute of Railway Transport Engineers for transport], 2013.  P. 234.

9.   Mel'nikov V.A. Metodicheskie podkhody k diagnostirovaniyu teplovozov serii 2TE116U po dannym MSU-TP [Methodological approaches to diagnosing diesel locomotives of the 2TE116U series according to MSU-TP]. Transportnaya infrastruktura Sibirskogo regiona: Materialy pyatoi mezhdunarodnoi nauchno-prakticheskoi konferentsii, posvyashchennoi 40-letiyu nachala stroitel'stva Baikalo-Amurskoi magistrali [Transport infrastructure of the Siberian region: Materials of the fifth international scientific-practical conference dedicated to the 40th anniversary of the start of construction of the Baikal-Amur Railway], 2014. Pp. 612.

10. Abolmasov A.A., Mel'nikov V.A. Informatsionnye sredstva avtomatizirovannoi sistemy upravleniya nadezhnost'yu lokomotivov TMKh-Servis [Information tools of the TMX-Service Locomotive Automated Reliability Management System]. Ekspluatatsionnaya nadezhnost' lokomotivnogo parka i povyshenie effektivnosti tyagi poezdov. Tezisy vtoroi vserossiiskoi nauchno-tekhnicheskoi konferentsii s mezhdunarodnym uchastiem [Operational reliability of the locomotive fleet and increased train traction efficiency. Abstracts of the second All-Russian scientific and technical conference with international participation], 2014. Pp. 12.

11. Mel'nikov V.A. Effektivnost' diagnostirovaniya teplovozov 2TE116U po dannym bortovykh mikroprotsessornykh system [The efficiency of diagnosing diesel locomotives 2TE116U according to onboard microprocessor systems]. 120 let zheleznodorozhnomu obrazovaniyu v Sibiri. Materialy vserossiiskoi nauchno-prakticheskoi konferentsii s mezhdunarodnym uchastiem [120 years of railway education in Siberia. Materials of the All-Russian scientific-practical conference with international participation], 2014. Pp. 87.

12. Mel'nikov V.A. Algoritmicheskaya zashchita sovremennykh lokomotivov [Algorithmic protection of modern locomotives]. Nauka MIITa – transportu [The science of Moscow Institute of Railway Transport Engineers for transport], 2014. Pp. 147.

13. Mel'nikov V.A. Diagnostirovanie teplovozov po dannym bortovykh mikroprotsessornykh sistem [Diagnosis of diesel locomotives according to onboard microprocessor systems]. Mir transporta [The world of transport], 2014. No. 3. Pp. 56–62.

14. Mel'nikov V.A. Effektivnost' diagnostirovaniya teplovozov 2TE116U po dannym bortovykh mikroprotsessornykh system [Diagnostic efficiency of 2TE116U diesel locomotives according to on-board microprocessor systems]. Perspektivy razvitiya servisnogo obsluzhivaniya lokomotivov. Tezisy pervoi mezhdunarodnoi nauchno-prakticheskoi konferentsii [Prospects for the development of service of locomotives. Abstracts of the first international scientific-practical conference], 2014. P. 208.

15. Grinenko V.I., Abolmasov A.A., Mel'nikov V.A. Monitoring tekhnicheskogo sostoyaniya lokomotivov po dannym ikh bortovykh mikroprotsessornykh sistem [Monitoring the technical condition of locomotives according to their onboard microprocessor systems]. Zheleznodorozhnyi transport [Railway transport], 2015. No. 4. Pp. 71–74.

16. Lipa K.V., Belinskii A.A., Pustovoi V.N., Lyangasov S.L et al. Monitoring tekhnicheskogo sostoyaniya lokomotivov. Teoriya i praktika [Monitoring of the technical condition of locomotives. Theory and practice]. Moscow: OOO «Lokomotivnye tekhnologii» Publ., 2015. P. 212.

17. Mel'nikov V.A. Primenenie metodov Data Mining dlya analiza rezhimov raboty lokomotiva [Mining methods for the analysis of locomotive operating modes]. Nauka MIITa – transportu [The science of Moscow Institute of Railway Transport Engineers for transport], 2015. P. 156.

18. Mel'nikov V.A., Lakin I.I., Abolmasov A.A. Algoritmicheskaya zashchita lokomotivov [Algorithmic protection of locomotives]. Lokomotiv [Locomotive], 2015. No. 4. Pp. 8–10.

19. Lakin I.K., Mel'nikov V.A., Gaba D.I. Analiz rezhimov raboty teplovozov 2TE116U po dannym bortovykh MSU [Analysis of the operating modes of 2TE116U diesel locomotives according to onboard MCS]. Lokomotiv [Locomotive], 2015. No. 5. Pp. 34–36.

20. Lakin I.K., Abolmasov A.A., Mel'nikov V.A. Primenenie statisticheskikh metodov pri diagnostirovanii teplovozov [The use of statistical methods for the diagnosis of diesel locomotives]. Izvestiya Transsiba [Journal of Transsib Railway Studies], 2015. No. 1(21). P. 20.

21. Mel'nikov V.A. Ispol'zovanie korrelyatsionnogo analiza pri diagnostirovanii teplovozov 2TE116U [The use of correlation analysis in the diagnosis of 2TE116U diesel locomotives]. Transportnaya infrastruktura Sibirskogo regiona. Materialy shestoi mezhdunarodnoi nauchno-prakticheskoi konferentsii [Transport infrastructure of the Siberian region. Materials of the sixth international scientific-practical conference]. Irkutsk, 2015. Pp. 343–349.

22. Lakin I.K., Abolmasov A.A., Mel'nikov V.A. Primenenie statisticheskikh metodov pri diagnostirovanii teplovozov [Application of statistical methods for the diagnosis of diesel locomotives]. Izvestiya Transsiba [Journal of Transsib Railway Studies], 2015. No. 1(21). Pp. 20–28.

23. Subbotin R. N., Abolmasov A.A., Mel'nikov V.A. Analiz narabotki na neplanovyi remont teplovozov 2TE116 [Analysis of operating time for unplanned repair of diesel locomotives 2TE116]. Perspektivy razvitiya servisnogo obsluzhivaniya lokomotivov. Materialy vtoroi nauchno-prakticheskoi konferentsii. Moscow: OOO Lokomotivnye tekhnologii Publ., 2015. Pp. 297–308.

24. Lakin I.K., Plyaskin A.K., Mel'nikov V.A., Dmitriev S.A. Sovershenstvovat' tekhnologiyu reostatnykh ispytanii teplovozov [Improve the technology of rheostatic tests of diesel locomotives]. Lokomotiv [Locomotive], 2016. No. 5. Pp. 38–42.