Abstract
This paper deals with the stress-strength system reliability based on signatures. By using signature-based properties of strength systems, the performance of the stress-strength reliability is assessed. It is shown that the survival function of the remaining strength of a system can be expressed as a mixture of the survival functions of the remaining strengths of their components and for systems consisting of exponential components, it is derived explicitly. The optimal system configuration in terms of the signature has been determined under an exponential stress-strength model.
Similar content being viewed by others
References
Al-Mutairi DK, Ghitany ME, Kundu D (2015) Inferences on stress-strength reliability from Lindley distribution. Commun Stat Theory Methods 42:1443–1463
Bairamov I, Gurler S, Ucer B (2015) On the mean remaining strength of the \(k\)-out-of-\(n\): F system with exchangeable components. Commun Stat Simul Comput 44:1–13
Belzunce F, Martinez Riquelme C, Mulero J (2015) An introduction to stochastic orders. Academic Press, Elsevier Ltd, Boston
Condino F, Domma F, Latorre G (2016) Likelihood and Bayesian estimation of \(P(Y<X)\) using lower record values from a proportional reversed hazard family. Stat Pap. doi:10.1007/s00362-016-0772-9
Eryilmaz S (2008) Consecutive \(k\)-out-of-\(n: G\) system in stress-strength setup. Commun Stat Simul Comput 37:579–589
Gurler S, Ucer BH, Bairamov I (2015) On the mean remaining strength at the system level for some bivariate survival models based on exponential distribution. J Comput Appl Math. 290:535–542
Gurler S (2013) The mean remaining strength of systems in a stress-strength model. Hacet J Math Stat 42:181–187
Johnson RA (1988) stress-strength models for reliability. In: Krishnaiah PR, Rao CR (eds) Handbook of statistics, vol 7. North Holland, Amsterdam
Kzlaslan F, Nadar M (2016) Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution. Stat. Pap. doi:10.1007/s00362-016-0765-8
Kochar S, Mukerjee H, Samaniego FJ (1999) The ‘signature’ of a coherent system and its application to comparisons among systems. Naval Res Logist 46:507–523
Kotz S, Lumelskii Y, Pensky M (2003) The stress strength model and its generalization. World Scientific, Singapore
Krishnamoorthy K, Lin Y (2010) Confidence limits for stress-strength reliability involving Weibull model. J Stat Plan Inference 140:1754–1764
Navarro J, Balakrishnan N, Samaniego FJ (2008) Mixture representations of residual lifetimes of used systems. J Appl Probab 45:1097–1112
Navarro J, del Águila Y, Sordo MA, Suárez-Llorens A (2016) Preservation of stochastic orders under the formation of generalized distorted distributions. Applications to coherent systems. Methodol Comput Appl Probab 18:529–545
Samaniego FJ (2007) System signatures and their applications in engineering reliability. Springer, New York
Shaked M, Shanthikumar J (2007) Stochastic orders. Springer, New York
Toomaj A, Doostparast M (2015) Comparisons of mixed systems with decreasing failure rate component lifetimes using dispersive order. Appl Stoch Models Bus Ind 31:801–808
Acknowledgements
The authors are grateful to the two anonymous referees for making many helpful comments and suggestions on an earlier version of this paper. This research was supported by a grant from Ferdowsi University of Mashhad Graduate studies (No. 3/38440).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pakdaman, Z., Ahmadi, J. & Doostparast, M. Signature-based approach for stress-strength systems. Stat Papers 60, 1631–1647 (2019). https://doi.org/10.1007/s00362-017-0889-5
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00362-017-0889-5