Develo** an Energy Provider’s Knowledge Base of Flow Charts

  • Chapter
  • First Online:
Cyber-Physical Systems: Design and Application for Industry 4.0

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 342))

  • 389 Accesses

Abstract

The chapter discusses the problem of scheduling a repair program using flow charts in major energy providers. A knowledge base has been developed determining relationships between defects and flow charts, equipment unit factor types have been considered. The knowledge base allowed systematizing information about defects and flow charts, speeded up the compilation of a repair program, and reduced the number of errors.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Equipment maintenance and repair system. Terms and definitions. GOST 18322-2016 (2017). https://docs.cntd.ru/document/1200144954. Accessed 1 June 2020 (in Russian)

  2. Stefik, M.: Introduction to knowledge systems. Elsevier (2014)

    Google Scholar 

  3. Giarratano, J.C., Riley, G.: Expert systems: principles and programming. Brooks/Cole Publishing Co (1989)

    Google Scholar 

  4. Jackson, P.: Introduction to expert systems (1998). Addison-Wesley Longman Publishing Co. Inc.

    Google Scholar 

  5. Schreiber, A.T. et al.: Knowledge engineering and management: the Common KADS methodology (2000). MIT press

    Google Scholar 

  6. James, G., et al.: An introduction to statistical learning. Springer, New York (2013)

    Book  Google Scholar 

  7. Izvercian, M., Ivascu, L., Miclea, S.: An expert system for enterprise risk assessment. In: Proceeding of International Conference on Economics, Business and Management, Kuala Lumpur (2010)

    Google Scholar 

  8. Waterman, D.: A guide to expert systems (1986)

    Google Scholar 

  9. Liebowitz, J. (ed.): The handbook of applied expert systems. CRC Press (1997)

    Google Scholar 

  10. Frangopoulos, C. (ed.): Exergy, Energy System Analysis and Optimization-Volume III: Artificial Intelligence and Expert Systems in Energy Systems Analysis Sustainability Considerations in the Modeling of Energy Systems, vol. 3, EOLSS Publications. (2009)

    Google Scholar 

  11. Krishnamoorthy, C.S., Rajeev, S.: Artificial intelligence and expert systems for engineers (1996). CRC press

    Google Scholar 

  12. Sazykin, V.G.: Клaccификaция экcпepтныx cиcтeм в элeктpoэнepгeтикe. (Classification of expert systems in electric power industry). Elektrichestvo 4 (1993)

    Google Scholar 

  13. Carayannis, G.: Artificial intelligence and expert systems in the steel industry. JOM 45(10), 43–51 (1993)

    Article  Google Scholar 

  14. Denisov, M., Kizim, A., Kamaev, V., Davydova, S., Matohina, A.: Solution on decision support in determining of repair actions using fuzzy logic and agent system. Springer, Cham (2014)

    Book  Google Scholar 

  15. Procedural guidelines for development of flow charts and HVL maintenance and repair method statement. PJSC UES FGC (2014). https://www.fsk-ees.ru/upload/docs/STO_56947007-29.240.55.168-2014.pdf. Accessed 1 June 2020 (in Russian)

  16. Choi, S.S., Cha, S.H., Tappert, C.C.: A survey of binary similarity and distance measures. J. Syst. Cybern. Inform. 8(1), 43–48 (2010)

    Google Scholar 

  17. Adriaans, P., Zantinge, D.: Data Mining. Addison Wesley Longman Ltd., Harlow, England (1996)

    Google Scholar 

  18. Guo, Y., Lu, Y., He, X., Zhang, T.: Research and Design of Expert System Based on Oil-Gas Field Energy Saving Information Platform. Springer, Cham (2019)

    Book  Google Scholar 

  19. Leonov, E.A., Averchenkov, V.I., Averchenkov, A.V., Kazakov, Y.M., Leonov, Y.A.: Architecture and self-learning concept of knowledge-based systems by use monitoring of internet network (2014). Springer, Cham

    Google Scholar 

  20. Yurin, A., Berman, A., Nikolaychuk, O., Dorodnykh, N.: Knowledge Base Engineering for Industrial Safety Expertise. Springer, Cham (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. A. Borodin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 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

Borodin, V.A., Protalinskiy, O., Khanova, A. (2021). Develo** an Energy Provider’s Knowledge Base of Flow Charts. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Cyber-Physical Systems: Design and Application for Industry 4.0. Studies in Systems, Decision and Control, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66081-9_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-66081-9_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66080-2

  • Online ISBN: 978-3-030-66081-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation