The standby engineering: classification and quantification of standby in reliability

Original Article

Abstract

Due to an increasing sensitiveness on energy consumption and environmental impact, the interest on the standby concept and related issues is growing in the last years. Such trend has to be adequately supported by techniques, mechanisms and tools for the evaluation of standby phenomena, in order to provide valid methodologies to system designer. This is particularly true in reliability contexts, where often standby behaviors are approximated or not considered at all. There are a plenty works in literature dealing with standby, but some aspects of standby in reliability are partially covered and therefore can be further analyzed, also from a different perspective. Aim of the paper is to provide an in depth investigation of standby issues in reliability and availability, starting from the characterization from both an internal and an external point of view. In the former case the standby effects into a unit in isolation are considered, observed and characterized, while in the latter case the unit is considered as a component of a system, taking into account its interactions with the external environment or with the other components of the system. Thus, by applying dynamic reliability equations a formal characterization of the problem and its analytical formulation are provided. These are therefore used in the evaluation of standby redundant systems and their management.

Keywords

Standby Redundancy Standby redundant system Conservation of reliability 

References

  1. Alliance for Telecommunications Industry Solutions (ATIS) (2007) American national standard ATIS telecom glossary, WashingtonGoogle Scholar
  2. Australian Government, Department of Environment, Water, Heritage and the Arts (2011) Australian standby power program, Last access Feb 2012. http://www.energyrating.gov.au/products-themes/standby-power/about/
  3. Barlow RE, Proschan F (1965) Mathematical theory of reliability. Wiley, New York (IInd edn. SIAM, Philadelphia, 1996)Google Scholar
  4. Chern MS (1992) On the computational complexity of reliability redundancy allocation in a series system. Oper Res Lett 11(5):309–315MathSciNetMATHCrossRefGoogle Scholar
  5. Coit DW, Smith A. (1995) Optimization approaches to the redundancy allocation to the redundancy allocation problem for series-parallel systems. In: Proceedings of the fourth industrial engineering research conference, Nashville, pp 342–349Google Scholar
  6. Cox DR (1962) Renewal theory. Methuen, London, pp 142, plus IXGoogle Scholar
  7. Distefano S, Puliafito A (2009) Dependability evaluation with dynamic reliability block diagrams and dynamic fault trees. IEEE Trans Dependable Secur Comput 6(1):4–17CrossRefGoogle Scholar
  8. Dugan JB, Bavuso S, Boyd M (1992) Dynamic fault tree models for fault-tolerant computer systems. IEEE Trans Reliab 41(3):363–377MATHCrossRefGoogle Scholar
  9. Finkelstein MS (1999) Wearing-out of components in a variable environment. Reliab Eng Syst Saf 66(3):235–242CrossRefGoogle Scholar
  10. Gnedenko BV, Belyayev YuK, Solovyev AD (1969) Mathematical methods of reliability theory. Academic Press, New YorkMATHGoogle Scholar
  11. Institute of Electrical and Electronics Engineers (IEEE) (1991) IEEE 610-1991—IEEE standard computer dictionary. A compilation of IEEE standard computer glossaries. ISBN:1559370793Google Scholar
  12. International Electrotechnical Commission (IEC) (2011) IEC 62301 standard: household electrical appliances—measurement of standby power, Edition 2.0, GenevaGoogle Scholar
  13. International Energy Agency (IEA) (1999) IEA standby power initiative. Task force 1: definitions and terminology of standby power. 17–18 Nov 1999, WashingtonGoogle Scholar
  14. Itoi T, Nishida T, Kodama M, Ohi F (1978) N-unit parallel redundant system with correlated failure and single repair facility. Microelectron Reliab 17(2):279–285CrossRefGoogle Scholar
  15. Kececioglu D (1991) Reliability engineering handbook, vol 1 & 2, DEStech Publications, Lancaster, ISBN vol 1:1932078002, ISBN vol 1:1932078010Google Scholar
  16. Kuo W, Prasad V (2000) An annotated overview of system-reliability optimization. IEEE Trans Reliab 49(2):176–187CrossRefGoogle Scholar
  17. Kuo W, Prasad VR, Tillman FA, Hwang CL (2001) Optimal reliability design: fundamentals and applications. Cambridge University Press, CambridgeGoogle Scholar
  18. Limnios N, Oprisan G (2001) Semi-Markov processes and reliability, Series in statistics for industry and technology. Birkhäuser, BostonCrossRefGoogle Scholar
  19. Meier A (1999) Standby power use—definitions and terminology. In: First workshop on reducing standby losses, ParisGoogle Scholar
  20. Morrison DF, David HA (1960) The life distribution and reliability of a system with spare components. Ann Math Stat 31(4):1084–1094MathSciNetMATHCrossRefGoogle Scholar
  21. Osaki S (1970) Reliability analysis of a two-unit standby redundant system with priority. CORS J 8(1):60–62Google Scholar
  22. Ruiz-Castro JE, Pérez-Ocón R, Fernández-Villodre G (2008) Modelling a reliability system governed by discrete phase-type distributions. Reliab Eng Syst Saf 93(11):1650–1657CrossRefGoogle Scholar
  23. Srinivasan VS (1966) The effect of standby redundancy in system’s failure with repair maintenance. Oper Res 14:1024–1036CrossRefGoogle Scholar
  24. Yearout RD, Reddy P, Grosh DL (1986) Standby redundancy in reliability—a review. IEEE Trans Reliab, 35(3):285–292Google Scholar

Copyright information

© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2012

Authors and Affiliations

  1. 1.Politecnico di MilanoMilanItaly

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