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Exploration of a Capability-Focused Aerospace System of Systems Architecture Alternative with Bilayer Design Space, Based on RST-SOM Algorithmic Methods

机译:基于RST-SOM算法方法,探讨了双层设计空间的系统架构替代能力的航空航天系统

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In defense related programs, the use of capability-based analysis, design, and acquisition has been significant. In order to confront one of the most challenging features of a huge design space in capability based analysis (CBA), a literature review ofdesign space explorationwas first examined. Then, in the process of an aerospace system of systems design space exploration, a bilayer mapping method was put forward, based on the existing experimental and operating data. Finally, the feasibility of the foregoing approach was demonstrated with an illustrative example. With the data mining RST (rough sets theory) and SOM (self-organized mapping) techniques, the alternative to the aerospace system of systems architecture was mapping from P-space (performance space) to C-space (configuration space), and then from C-space to D-space (design space), respectively. Ultimately, the performance space was mapped to the design space, which completed the exploration and preliminary reduction of the entire design space. This method provides a computational analysis and implementation scheme for large-scale simulation.
机译:在防御相关计划中,使用基于能力的分析,设计和收购已经很大。为了面对基于能力的分析(CBA)的巨大设计空间的最具挑战性的特征之一,首先检查了设计空间探测器的文献综述。然后,在系统设计空间探索的航空航天系统的过程中,提出了一种基于现有的实验和操作数据的双层映射方法。最后,通过说明性示例对前述方法的可行性进行了说明。利用数据挖掘RST(粗糙集理论)和SOM(自组织映射)技术,系统架构的航空航天系统的替代方案从P空间(性能空间)到C-Space(配置空间),然后从C型空间到D-Space(设计空间)。最终,性能空间被映射到设计空间,从而完成了整个设计空间的探索和初步减少。该方法提供了用于大规模仿真的计算分析和实现方案。

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