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Reliability Decisions for Supermarket Refrigeration System by using Combined Stochastic Process and Universal Generating Function Method: Case Study

In: Recent Advances in System Reliability

Author

Listed:
  • Ilia Frenkel

    (Center for Reliability and Risk Managemet)

  • Lev Khvatskin

    (Center for Reliability and Risk Management)

Abstract

This chapter presents a case study of combined stochastic process and universal generating function method application to calculation of reliability measures for complex supermarket refrigeration system. The system and its components can have different performance levels ranging from perfect functioning to complete failure and, so it is treated as a multi-state system. Decision making about the system structure is based on calculated reliability measures. Combined universal generating functions and stochastic processes method is used for computation of availability, output performance and performance deficiency for such refrigeration system.

Suggested Citation

  • Ilia Frenkel & Lev Khvatskin, 2012. "Reliability Decisions for Supermarket Refrigeration System by using Combined Stochastic Process and Universal Generating Function Method: Case Study," Springer Series in Reliability Engineering, in: Anatoly Lisnianski & Ilia Frenkel (ed.), Recent Advances in System Reliability, chapter 0, pages 97-112, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-2207-4_7
    DOI: 10.1007/978-1-4471-2207-4_7
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    Cited by:

    1. Mostafa Fadaeefath Abadi & Mohammad Hosseini Rahdar & Fuzhan Nasiri & Fariborz Haghighat, 2022. "Fault Identification and Fault Impact Analysis of The Vapor Compression Refrigeration Systems in Buildings: A System Reliability Approach," Energies, MDPI, vol. 15(16), pages 1-21, August.

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