System-Level Modeling and Simulation-Based Approach to Risk Assessment for Space Systems

System-Level Modeling and Simulation-Based Approach to Risk Assessment for Space Systems
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基于系统级建模和仿真的空间系统风险评估方法

DOI:
10.1109/ram.2018.8463034
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发表时间:
2018
期刊:
2018 Annual Reliability and Maintainability Symposium (RAMS)
影响因子:
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通讯作者:
K. Kawatsu
K. Kawatsu
中科院分区:
--
文献类型:
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作者:
K. Kawatsu

文献摘要

被引文献

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由于涉及多物理场和动态现象的系统级相互作用的复杂性,在空间系统风险评估中难以正确和全面地识别系统级失效模式。本研究通过使用基于系统级建模和仿真的方法对空间系统进行风险评估,研究系统级潜在失效模式识别。提出的方法基于建模语言Modelica的使用,Modelica是一种基于方程的面向对象建模语言,允许对复杂的网络物理系统进行因果建模。Modelica对于涉及多物理现象的系统级交互具有重要的建模功能。本文根据该方法的若干试验结果,讨论了该方法的技术可行性和预期效果。此外,本文还提出了将这种方法作为未来工作主题的几个问题。
The proper and comprehensive identification of systemlevel failure mode during risk assessment for space systems has difficulty due to the complexity of system-level interactions that involve multi-physics and dynamic phenomena. This study looks into system-level potential failure mode identification by using a system-level modeling and simulation-based approach to risk assessment for space systems. The proposed approach is based on utilization of the modeling language “Modelica”, an equation-based, objectoriented modeling language that allows acausal modeling for complex cyber-physical systems. The Modelica has an important modeling capability for system-level interactions that involve multi-physics phenomena. This paper discusses the technical feasibility and expected effect of this approach based on several trial results of the proposed approach. Furthermore, this paper presents several issues with this approach as future work subjects.