基于建模的卫星星座可靠性分析方法

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Daniel Farias, Bruno Nogueira, Ivaldir Farias Júnior, Ermeson Andrade
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引用次数: 0

摘要

卫星星座在通信、地球观测和空间探索等各个领域发挥着至关重要的作用。确保这些星座的可靠运行至关重要。本文介绍了一种利用随机 Petri 网分析卫星星座的可靠性建模方法。主要重点是通过评估可用性、可靠性和可维护性来提高运行效率。该方法通过评估各种可靠性指标,帮助卫星设计人员在选择星座配置时做出明智的决策。以全球导航卫星系统为例,我们进行了大量的数值实验,以评估我们方法的可行性。实验结果从数量上证明了冗余组件对可靠性和可用性的重大影响。结果还说明了在维修和运行轨道上使用卫星如何影响这些指标,并突出了可靠性和可维护性之间的直接关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A modeling-based approach for dependability analysis of a constellation of satellites

A modeling-based approach for dependability analysis of a constellation of satellites

Satellite constellations play critical roles across various sectors, encompassing communication, Earth observation and space exploration. Ensuring the dependable operation of these constellations is of utmost importance. This paper introduces a dependability modeling approach using stochastic Petri nets to analyze satellite constellations. The primary focus is on improving operational efficiency through the assessment of availability, reliability and maintainability. The approach helps satellite designers make informed decisions when selecting constellation configurations by assessing various dependability metrics. Using a global navigation satellite system as a case study, we conduct extensive numerical experiments to evaluate the feasibility of our approach. The results demonstrate quantitatively the significant impact of redundant components on both reliability and availability. They also illustrate how utilizing satellites in repair and operational orbits can influence these metrics and highlight the direct correlation between reliability and maintainability.

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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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