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Dynamic modelling and simulation of fault-tolerant systems based on stochastic activity networks

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  • Samia Maza

Abstract

Dependability analysis is a crucial tool in the control of risk that is a result of failures in modern complex industrial systems. This paper proposes a modelling approach that constructs dynamic models of fault-tolerant (FT) systems based on stochastic activity networks (SANs). This approach allows the systematic inclusion of diagnosis performance in the dependability analysis. This SAN model is used jointly with Monte Carlo simulation to assess the impact of the diagnosis performance on the availability of a FT system when various redundancy and maintenance policies are employed.

Suggested Citation

  • Samia Maza, 2012. "Dynamic modelling and simulation of fault-tolerant systems based on stochastic activity networks," Journal of Risk and Reliability, , vol. 226(5), pages 455-463, October.
    • Handle: RePEc:sae:risrel:v:226:y:2012:i:5:p:455-463
    DOI: 10.1177/1748006X12444186
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    References listed on IDEAS

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    1. Benard, Vincent & Cauffriez, Laurent & Renaux, Dominique, 2008. "The Safe-SADT method for aiding designers to choose and improve dependable architectures for complex automated systems," Reliability Engineering and System Safety, Elsevier, vol. 93(2), pages 179-196.
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    Cited by:

    1. Hu, Bin & Seiler, Peter, 2015. "Pivotal decomposition for reliability analysis of fault tolerant control systems on unmanned aerial vehicles," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 130-141.

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