Skip to main content

Structural Risk Analysis as Basis for Quality Control of Metallurgical Systems

  • Conference paper
  • First Online:
Proceedings of the 4th International Conference on Industrial Engineering (ICIE 2018)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 100 Accesses

Abstract

The brief review of the quality control system for complex technical systems is given. A generalizing condition for the analysis and control of safety as the basis for quality control of any complex technical system based on the risk theory has been adopted. The technical risk analysis cannot always adequately evaluate the safety of the structure, so the transition from technical risk to the structural risk of complex technical systems is shown. As an example of such systems, it is proposed to investigate cranes casting bridge type, operating in heavy and superheavy operation modes. Four blocks (subsystems) of the first level of structural risk and ten elements of the second level have been singled out. On the basis of the evolving structural risk theory, its meaningful formulation for complex metallurgical systems is given. A model of structural risk coordinated by goals and tasks has been constructed. The evaluation of structural risk as the probability of catastrophic destruction of a group of objects, metallurgical bridge cranes, will allow one to formulate and analytically determine the parameters of their quality control from the position of safety and reliability.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. Izvekov YuA (2012) Modelirovanie prognozirovaniya riska nesushchikh konstruktsiy kranov metallurgicheskogo proizvodstva (Model operation of prediction of risk of load-bearing frames of cranes of metallurgical production). Curr Probl Mod Sci Tech Educ 70:6–8

    Google Scholar 

  2. Izvekov YuA (2013) Risk-analiz oborudovaniya metallurgicheskikh proizvodstv. Podkhod, kontseptsiya, analiz (Risk analysis of an inventory of metallurgical productions. Approach, concept, analysis). Saarbrucken, Deutschland

    Google Scholar 

  3. Frolov KV, Makhutov NA (2006) Bezopasnost Rossii. Pravovye, sotsialno-ekonomicheskie i nauchno-tekhnicheskie aspekty (Safety of Russia. Legal, socio-economic, and scientific and technical aspects). In: 4 parts. part 1: the basic concepts of the analysis and regulation of safety. Znanie, Moscow

    Google Scholar 

  4. Anon (1989) Risk criteria for land use planning in the vicinity of major industrial hazards. U.K. Health and Safety Executive, London

    Google Scholar 

  5. Anon (1993) Risk analysis, perception, management. The Royal Society, London

    Google Scholar 

  6. Bagrov AV, Murtazov AK (2010) Tekhnogennye sistemy i teoriya riska (Technogenic systems and risk theory). Ryazan State University named for S.A. Yesenin, Ryazan

    Google Scholar 

  7. Biryukov MP (1980) Dinamika i prognoziruyushchiy raschet mekhanicheskikh sistem (Dynamics and the predicting calculation of mechanical systems). Vysheyshya shkola, Minsk

    Google Scholar 

  8. Boulding KE (1956) General systems theory—the skeleton of science. Manage Sci 2:197–208

    Article  Google Scholar 

  9. Brushlinsky NN, Hall JR, Sokolov SV, Wagner P (2003) Fire statistics, June 2003. Academy of State Fire Service, Moscow

    Google Scholar 

  10. Taguchi G (1985) Quality engineering in Japan. Bull Jpn Soc Precis Eng 4:237–242

    Google Scholar 

  11. Hammad DB, Shafiq N, Nuruddin MF (2014) Criticality index of building systems using multi-criteria decision analysis technique. MATEC Web Conf EDP Sci 15:01018

    Article  Google Scholar 

  12. Izvekov YuA (2012) Analiz tekhnogennoy bezopasnosti kranovogo khozyaystva Rossii (Analysis of technogenic safety of crane economy of Russia). Mod High Technol 12:18–19

    Google Scholar 

  13. Kumamoto H, Henley EJ (1996) Probabilistic risk assessment and management for engineers and scientists. IEEE Press, New York

    Google Scholar 

  14. Lepikhin AM (2000) Risk analysis of designs of potentially dangerous objects on the basis of probability models of mechanics of destruction. Dissertation, RAS, Siberian Office, Institute of Computing Model Operation, Krasnoyarsk

    Google Scholar 

  15. Malinetsky GG, Potapov AB (2000) Sovremennye problemy nelineynoy dinamiki (The modern problems of non-linear dynamics). Editorial of URSS, Moscow

    Google Scholar 

  16. Sorensen AG (1973) A statistical analysis of product reliability due to random vibration. In: Proceedings of annual reliability and maintainability symposium, Philadelphia

    Google Scholar 

  17. Stepanov VV (2006) Kurs differentsialnykh uravneniy (The course of the differential equations). KomKniga, Moscow

    Google Scholar 

  18. Bezopasnost truda v promyshlennosti (Safety of work in the industry) (2010). Moscow

    Google Scholar 

  19. Gilmore R (1993) Catastrophe theory for scientists and engineers. Dover, New York

    MATH  Google Scholar 

  20. Poston T, Stewart I (1998) Catastrophe: theory and its applications. Dover, New York

    MATH  Google Scholar 

  21. Prigozhin I, Stengers I (1994) Poryadok iz khaosa. Vremya, khaos, kvant (Order out of chaos. Time, chaos, quantum). Progress, Moscow

    Google Scholar 

  22. Sanns W (2000) Catastrophe theory with mathematica: a geometric approach. DAV, Germany

    Google Scholar 

  23. Saunders PT (1980) An introduction to catastrophe theory. Cambridge University Press, Cambridge

    Book  Google Scholar 

  24. Thompson J, Michael T (1982) Instabilities and catastrophes in science and engineering. Wiley, New York

    Book  Google Scholar 

  25. Izvekov YuA, Kobelkova EV, Loseva NA, Dubrovsky VV, Khamutskikh EYu (2015) Mathematical evaluation of mechanical construction safe loading. J Ind Pollut Control 1:115–118

    Google Scholar 

  26. Gugina EM (2017) Raschet nadezhnosti mostovykh kranov metodom preobrazovaniya veroyatnostey (Calculation of reliability of bridge cranes by method of transformation of probabilities). In: Technical sciences: problems and prospects. Materials of the fifth international scientific conference, St. Petersburg, July 2017. Svoyo izdatelstvo, St. Petersburg, pp 68–70

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu. A. Izvekov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Izvekov, Y.A., Gugina, E.M., Shemetova, V.V. (2019). Structural Risk Analysis as Basis for Quality Control of Metallurgical Systems. In: Radionov, A., Kravchenko, O., Guzeev, V., Rozhdestvenskiy, Y. (eds) Proceedings of the 4th International Conference on Industrial Engineering. ICIE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95630-5_182

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95630-5_182

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95629-9

  • Online ISBN: 978-3-319-95630-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics