Signatures of Repairable Systems

  1. Suárez‐Llorens, Alfonso
Libro:
Wiley StatsRef: Statistics Reference Online

ISBN: 9781118445112

Año de publicación: 2019

Páginas: 1-6

Tipo: Capítulo de Libro

DOI: 10.1002/9781118445112.STAT08209 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

The literature related to system signatures is briefly discussed. In short, computing a “signature” is associated with the fact of capturing the essence of a coherent system to simplify the quantification of its reliability. In this context, a representation of the reliability function of a repairable coherent system of components is addressed. It is assumed that each component can individually fail and be minimally repaired up to a fixed number of times. Failures occur at any component according to a nonhomogeneous Poisson process with a common intensity function. First, it is shown that the reliability function of a series system can be written in terms of the intensity function and a distribution-free measure based on the probabilities of the number of repairs until system failure. Secondly, the utility of this result in the comparative study of system performance is illustrated through a “preservation” theorem. Finally, the results for series systems lead to an explicit expression for computing the reliability function of any repairable coherent system that depends on a distribution-free measure of the system's design.

Referencias bibliográficas

  • 10.1080/00401706.1961.10489927
  • 10.1109/TR.1985.5221935
  • 10.1016/j.jmva.2005.09.003
  • 10.1002/nav.20285
  • 10.1002/nav.20463
  • 10.1002/(SICI)1520-6750(199908)46:5<507::AID-NAV4>3.0.CO;2-D
  • 10.1007/978-0-387-71797-5
  • 10.1002/nav.20370
  • 10.1002/asmb.2055
  • Coolen F.P.A., (2012), Complex Systems and Dependability, pp. 115
  • 10.1177/1748006X14526390
  • Coolen F.P.A., (2016), Dependability Problems of Complex Information Systems, pp. 19
  • 10.1080/09617353.2016.1219936
  • 10.1002/asmb.1917
  • 10.1002/asmb.1985
  • 10.1109/TR.2015.2446466
  • 10.1063/1.3062611
  • Aven T., (2000), J. Appl. Prob., 37, pp. 187, 10.1239/jap/1014842276
  • 10.1287/opre.8.1.90
  • Müller M., (2002), Comparison Methods for Stochastic Models and Risks
  • 10.1007/978-0-387-34675-5
  • Shaked M., (1992), Adv. Appl. Probab., 24, pp. 894, 10.2307/1427718
  • Barlow R.E., (1975), Statistical Theory of Reliability and Life Testing