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

机译:基于系统级建模和基于仿真的空间系统风险评估方法

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摘要

The proper and comprehensive identification of system-level 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, object-oriented 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.
机译:由于系统级相互作用的复杂性涉及多物理和动态现象的系统级相互作用的复杂性,系统级故障模式的适当和全面识别。本研究通过使用基于系统级建模和基于模拟的空间系统风险评估来研究系统级潜在故障模式识别。该方法基于利用建模语言“MODEMICA”,基于等式的面向对象的建模语言,允许复杂网络物理系统的ACAUSAL建模。 Modelica具有涉及多物理现象的系统级相互作用的重要建模能力。本文讨论了这种方法的技术可行性和基于拟议方法的几次试验结果的预期效应。此外,本文作为未来的工作科目呈现了这种方法的几个问题。

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