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New reliability model for complex systems based on stochastic processes and survival signature

Chang, Miaoxin; Huang, Xianzhen; Coolen, F.P.A.; Coolen-Maturi, Tahani


Miaoxin Chang

Xianzhen Huang


For systems with complicated structures, reliability analysis based on survival signature has been carried out by modelling time-to-failure data with specific distributions. However, for highly reliable systems, only little or no failure data may be available. To enable reliability analysis without failure data, a new generalised reliability method is proposed for complex systems, based on the survival signature and using stochastic processesto model degradation. The combination of the survival signature and stochastic processes enables the proposed method to be applied to complex systems with different structures and stochastically degrading components. First, system reliability is analysed based on the survival signature and a generalised stochastic process. Then, component reliability analysis based on the generalised stochastic process is introduced using Wiener and Gamma processes. Finally, the approach presented in this paper is illustrated using two numerical examples, and the estimation results are compared with those calculated using failure time distribution functions.


Chang, M., Huang, X., Coolen, F., & Coolen-Maturi, T. (2023). New reliability model for complex systems based on stochastic processes and survival signature. European Journal of Operational Research, 309(3), 1349-1364.

Journal Article Type Article
Acceptance Date Feb 18, 2023
Online Publication Date Feb 23, 2023
Publication Date Sep 16, 2023
Deposit Date Feb 18, 2023
Publicly Available Date Feb 24, 2025
Journal European Journal of Operational Research
Print ISSN 0377-2217
Electronic ISSN 1872-6860
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 309
Issue 3
Pages 1349-1364
Public URL


This file is under embargo until Feb 24, 2025 due to copyright restrictions.

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