Skip to main content

Unified Corporate Platform URRAN (UCP URRAN)

  • Chapter
  • First Online:
Technical Asset Management for Railway Transport

Abstract

The management of technical assets of the Russian Railways is carried out on the basis of the URRAN system which is composed of three interrelated components:

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 89.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Avizienis, A., Laprie, J-C., Randell, B.: Dependability of computer systems. Fundamental concepts, terminology and examples. Technical report. LAAS – CNRS (2000)

    Google Scholar 

  2. Podinovsky, V.V., Nogin, V.D.: Pareto-optimal’nye resheniya mnogokriterial’nyh zadach (Pareto-optimal solutions of multicriterion problems). Nauka, Glavnaya redakciya fiziko-matematicheskoj literatury, Moscow (1982)

    Google Scholar 

  3. Lasisi, A., Attoh-Okine, N.: Principal components analysis and track quality index: a machine learning approach. Transp. Res. Part C Emerg. Technol. 91, 230–248 (2018)

    Article  Google Scholar 

  4. Thaduri, A., Galar, D., Kumar, U.: Railway assets: a potential domain for big data analytics. Proc. Comput. Sci. 53, 457–467 (2015)

    Article  Google Scholar 

  5. Famurewa, S.M., Zhang, L., Asplund, M.: Maintenance analytics for railway infrastructure decision support. Journal Qual. Maint. Eng. 23, 310–325 (2017)

    Article  Google Scholar 

  6. Nakhaee, M.C., Hiemstra, D., Stoelinga, M., van Noort, M.: The Recent Applications of Machine Learning in Rail Track Maintenance: A Survey. Lecture Notes in Computer Science. 91–105 (2019)

    Google Scholar 

  7. Goodfellow, I., Bengio, Y., Courville, A.: Glubokoe obuchenie (Deep Learning). DMK Press, Moscow (2018)

    Google Scholar 

  8. Cerrada, M., Zurita, G., Cabrera, D., Sánchez, R.V., Artés, M., Li, C.: Fault diagnosis in spur gears based on genetic algorithm and random forest. Mech. Syst. Signal Process. 70–71, 87–103 (2016)

    Article  Google Scholar 

  9. Santur, Y., Karakose, M., Akin, E.: Random forest based diagnosis approach for rail fault inspection in railways. National Conference on Electrical, Electronics and Biomedical Engineering. 714–719 (2016)

    Google Scholar 

  10. Chistyakov, S.P.: Sluchajnye lesa: obzor (Random forests: review.). Trudy Karel’skogo nauchnogo centra RAN. 1, 117–136 (2013)

    Google Scholar 

  11. Hosmer, D., Lemeshov, S., Sturdivant, R.X.: Applied   logistic   regression. Wiley, New York (2013)

    Book  Google Scholar 

  12. Hu, C., Liu, X.: Modeling Track Geometry Degradation Using Support Vector Machine Technique. 2016 Joint Rail Conference (2016)

    Google Scholar 

  13. Shubinsky, I.B., Zamyshliaev, A.M., Pronevich, O.B., Platonov, E.N., Ignatov, A.N.: Application of machine learning methods for predicting hazardous failures of railway track assets. Dependability Journal. 2(73), 43–53 (2020)

    Article  Google Scholar 

  14. Zamyshliaev, A.M.: Premises of the creation of a digital traffic safety management system. Dependability Journal. 4(71), 45–52 (2019)

    Article  Google Scholar 

  15. Druzhinin, G.V., Sergeeva, I.V.: Kachestvo informacii (The quality of information). Radio i svyaz’, Moscow (1990)

    Google Scholar 

  16. Shubinsky, I.B., Zamyshlyaev, A.M., Pronevich, O.B.: Graph method for evaluation of process safety in railway facilities. Dependability Journal. 17(1), 40–45 (2017)

    Article  Google Scholar 

  17. Zamyshlyaev, A.M.: Prikladnye informacionnye sistemy upravleniya nadezhnost’yu, bezopasnost’yu, riskami i resursami na zheleznodorozhnom transporte (Applied information systems for management of dependability, safety, risks and resources in railway transport). LLC “Journal Dependability”, Moscow (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Shubinsky, I.B., Zamyshlaev, A.M. (2022). Unified Corporate Platform URRAN (UCP URRAN). In: Technical Asset Management for Railway Transport. International Series in Operations Research & Management Science, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-90029-8_9

Download citation

Publish with us

Policies and ethics