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<p>As a core component of integrated modular avionics (IMA), the general processing module (GPM) exhibits complex architecture and dynamic characteristics that are challenging to precisely characterize. The failure dependencies among GPM submodules make common cause failure (CCF) an inevitable consideration in reliability analysis. Concurrently, due to the operating environment and other factors, single event effect (SEE) emerges as a common cause basic event that must be considered in the context of GPM reliability analysis. This paper proposes a dynamic reliability analysis framework combining dynamic fault tree (DFT) and generalized stochastic petri net (GSPN) with SEE-CCF considerations. The methodology is initiated with a comprehensive analysis of the dynamic characteristics inherent in GPM. Subsequently, a dynamic reliability analysis model of GPM is constructed by DFT and solved by GSPN. It is on this basis that a GPM reliability model is developed to solve problems and conduct analysis. This model takes into account CCF arising from SEE. The proposed method is capable of accurately characterizing the dynamic behavior of the GPM and enabling the reliability analysis of the GPM with consideration of CCF. The unreliability of explicit methods is measured as 2.9E−6 and 2.4E−6 at an average flight time with and without considering CCF arising from SEE, with an error of 17.2%. The findings of the implicit method study indicate that the most significant impact of multiple CCF events was SEE. Additionally, the SEE rate of the IEC 62396 is regarded as the failure rate in the context of CCF issues arising from SEE, providing a novel perspective for GPM reliability analysis when incorporating CCF arising from SEE in practical engineering applications.</p>

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Dynamic reliability analysis of general processing module considering common cause failure arising from single event effect

  • 期刊论文

  • 发表日期：

    2025年10月13日

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  • Nve Xiao,
  • Yanbo Qu,
  • Peng Wang,
  • Qi Chen

摘要

As a core component of integrated modular avionics (IMA), the general processing module (GPM) exhibits complex architecture and dynamic characteristics that are challenging to precisely characterize. The failure dependencies among GPM submodules make common cause failure (CCF) an inevitable consideration in reliability analysis. Concurrently, due to the operating environment and other factors, single event effect (SEE) emerges as a common cause basic event that must be considered in the context of GPM reliability analysis. This paper proposes a dynamic reliability analysis framework combining dynamic fault tree (DFT) and generalized stochastic petri net (GSPN) with SEE-CCF considerations. The methodology is initiated with a comprehensive analysis of the dynamic characteristics inherent in GPM. Subsequently, a dynamic reliability analysis model of GPM is constructed by DFT and solved by GSPN. It is on this basis that a GPM reliability model is developed to solve problems and conduct analysis. This model takes into account CCF arising from SEE. The proposed method is capable of accurately characterizing the dynamic behavior of the GPM and enabling the reliability analysis of the GPM with consideration of CCF. The unreliability of explicit methods is measured as 2.9E−6 and 2.4E−6 at an average flight time with and without considering CCF arising from SEE, with an error of 17.2%. The findings of the implicit method study indicate that the most significant impact of multiple CCF events was SEE. Additionally, the SEE rate of the IEC 62396 is regarded as the failure rate in the context of CCF issues arising from SEE, providing a novel perspective for GPM reliability analysis when incorporating CCF arising from SEE in practical engineering applications.