Nothing Special   »   [go: up one dir, main page]

Skip to main content

Analysis of Boundary States of Multi-state System by Direct Partial Logic Derivatives

  • Conference paper
  • First Online:
Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 594))

Included in the following conference series:

Abstract

Multi-State System (MSS) is mathematical model that is used in reliability engineering for the representation of initial investigated object (system). In a MSS, both the system and its components may experience more than two states (performance levels). One of possible description of MSS is a structure function that is defined correlation between a system components states and system performance level. The investigation of a structure function allows obtaining different properties, measures and indices for MSS reliability. For example, boundary system’s states, probabilities of a system performance levels and other measures are calculated based a structure function. In this paper mathematical approach of Direct Partial Logical Derivatives is proposed for calculation of boundary states of MSS.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Zio, E.: Reliability engineering: old problems and new challenges. Reliab. Eng. Syst. Saf. 94, 125–141 (2009)

    Article  Google Scholar 

  2. Praks, P., Kopustinskas, V.: Monte-carlo based reliability modelling of a gas network using graph theory approach. In: 2014 Ninth International Conference on Availability, Reliability and Security, pp. 380–386. IEEE (2014)

    Google Scholar 

  3. Zaitseva, E., Levashenko, V., Rusin, M.: Reliability analysis of healthcare system. In: FedCSIS 2011 Federated Conference on Computer Science and Information Systems, pp. 169–175. IEEE (2011)

    Google Scholar 

  4. Rausand, M., Høyland, A.: System Reliability Theory. John Wiley and Sons Inc., Haboken (2004)

    MATH  Google Scholar 

  5. Murchland, J.D.: Fundamental concepts and relations for reliability analysis of multistate system. In: Reliability and Fault Tree Analysis, Theoretical and Applied Aspects of System Reliability, SIAM, pp. 581–618 (1975)

    Google Scholar 

  6. Barlow, R.E., Wu, A.S.: Coherent systems with multi-state components. Math. Oper. Res. 3, 275–281 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  7. Hudson, J.C., Kapur, K.C.: Modules in coherent multistate systems. IEEE Trans. Reliab. 32, 183–185 (1983)

    Article  MATH  Google Scholar 

  8. Lisnianski, A., Levitin, G.: Multi-state System Reliability: Assessment, Optimization and Applications. World Scientific, Singapore (2003)

    Book  Google Scholar 

  9. Xie, M., Dai, Y.-S., Poh, K.-L.: Multi-state system reliability. In: Computing System Reliability Models and Analysis, pp. 207–237. Kluwer Academic Publishers, New York (2004)

    Google Scholar 

  10. Levitin, G., Lisniansi, A.: Optimization of imperfect preventive maintenance for multi-state system. Reliab. Eng. Syst. Saf. 67, 193–203 (2000)

    Article  Google Scholar 

  11. Zio, E., Marella, M., Podofillini, L.: A monte carlo simulation approach to the availability assessment of multi-state systems with operational dependencies. Reliab. Eng. Syst. Saf. 92, 871–882 (2007)

    Article  Google Scholar 

  12. Caldarola, L.: Coherent system with multi-state components. Nucl. Eng. Des. 58, 127–139 (1980)

    Article  Google Scholar 

  13. Veeraraghavan, M., Trivedi, K.S.: A combinatorial algorithm for performance and reliability analysis using multistate models. IEEE Trans. Comput. 43, 229–234 (1994)

    Article  Google Scholar 

  14. Reinske, K., Ushakov, I.: Application of graph theory for reliability analysis. Radio i Sviaz, Moscow, USSR (1988) (in Russian)

    Google Scholar 

  15. Zaitseva, E.: Reliability analysis of Multi-State System. Dyn. Syst. Geom. Theor. 1, 213–222 (2003)

    MathSciNet  MATH  Google Scholar 

  16. Zaitseva, E.: Importance analysis of a multi-state system based on multiple-valued logic methods. In: Lisnianski, A., Frenkel, I. (eds.) Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference, pp. 113–134. Springer, London (2012)

    Chapter  Google Scholar 

  17. Zaitseva, E., Levashenko, V.: Multiple-valued logic mathematical approaches for multi-state system reliability analysis. J. Appl. Logic 11, 350–362 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  18. Kvassay, M., Zaitseva, E., Levashenko, V.: Minimal cut sets and direct partial logic derivatives in reliability analysis. In: Proceedings of the European Safety and Reliability Conference on Safety and Reliability: Methodology and Applications, pp. 241–248. CRC Press (2014)

    Google Scholar 

  19. Miller, M.D., Thornton, M.A.: Multiple Valued Logic: Concepts and Representations. Synthesis Lectures on Digital Circuits and systems. Morgan and Claypool Publishers, San Rafael (2008)

    Google Scholar 

  20. Zaitseva, E., Kovalik, S., Levashenko, V., Matiaško, K.: Algorithm for dynamic analysis of multi-state system by structure function. In: IEEE International Conference on Computer as a Tool, pp.1224–1227. IEEE Press (2005)

    Google Scholar 

  21. Zaitseva, E.: Dynamic reliability indices for multi-state system. In: The 33th IEEE International Symposium on Multiple-Valued Logic, pp. 287–292. IEEE Press (2003)

    Google Scholar 

  22. Boedigheimer, R.A., Kapur, K.C.: Customer-driven reliability models for multistate coherent systems. IEEE Trans. Reliab. 43, 46–50 (1994)

    Article  Google Scholar 

  23. Vachtsevanos, G., Lewis, F.L., Roemer, M., Hess, A., Wu, B.: Intelligent Fault Diagnosis and Prognosis for Engineering Systems. John Wiley and Sons, Hoboken (2006)

    Book  Google Scholar 

  24. Yeh, W.C.: A fast algorithm for searching all multi-state minimal cuts. IEEE Trans. Reliab. 57, 581–588 (2008)

    Article  Google Scholar 

  25. Kapur, K.C., Zaitseva, E., Kovalik, S., Matiasko, K.: Customer-driven reliability models and logical differential calculus for reliability analysis of multi state system. J. KONBIN 1, 39–47 (2006)

    Google Scholar 

  26. Zaitseva, E., Levashenko, V., Kostolny, J., Kvassay, M.: Direct partial logic derivatives in analysis of boundary states of multi-state system. In: 11th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, pp. 535–549. CEUR-WS (2015)

    Google Scholar 

Download references

Acknowledgments

This work was partially supported by grant of Scientific Grant Agency of the Ministry of Education of Slovak Republic (Vega 1/0498/14).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elena Zaitseva .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Zaitseva, E., Levashenko, V., Kostolny, J., Kvassay, M. (2016). Analysis of Boundary States of Multi-state System by Direct Partial Logic Derivatives. In: Yakovyna, V., Mayr, H., Nikitchenko, M., Zholtkevych, G., Spivakovsky, A., Batsakis, S. (eds) Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2015. Communications in Computer and Information Science, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-319-30246-1_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30246-1_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30245-4

  • Online ISBN: 978-3-319-30246-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics