航空系统可测试性分析软件

Q3 Engineering

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI:10.25728/ASSA.2021.21.1.1052

V. S. Viktorova, A. S. Stepanyants

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引用次数: 0

摘要

本文介绍了航空系统可测试性分析的模型、方法和软件工具。它包括主要可测试性、可靠性和可用性指标计算的分析和编程方面。它介绍了软件的一般描述、输入数据的XML模式以及它们映射到数据库结构的技术。描述了基于线路可更换单元故障模式报告生成可测试性分析初始数据的过程。提出了用于分析内置测试一致性的故障树模型。已经创建了马尔可夫模型来分析可靠性和可用性，同时考虑了内置测试的特点和飞机运行的具体情况。提出了一种构建维护间隔内航空系统运行可用性趋势的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Software for Testability Analysis of Aviation Systems

This paper describes models, methods and software tool for testability analysis of aviation systems. It comprises analytical and programing aspects of calculations of main testability, reliability and availability indices. It presents general description of the software, XML schema of input data and technique of their mapping to the database structure. The procedure for generating the initial data for testability analysis based on the line replaceable units failure modes report is described. Fault tree model for analysis of the built-in test conformity is suggested. Markov models have been created for analyzing reliability and availability, taking into account the features of the built-in test and the specifics of the aircraft operation. An approach to the construction of trends in the operative availability of aviation systems in the inter-maintenance interval is proposed.

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来源期刊

Advances in Systems Science and Applications Engineering-Engineering (all)

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.