Forecasting of maintenance indicators of complex technical systems during storage

Q3 Earth and Planetary Sciences Aerospace Systems Pub Date : 2023-05-25 DOI:10.1007/s42401-023-00225-6
Evgeniy Gusev, Aleksey Pronkin
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引用次数: 0

Abstract

Design, production, testing, and operation of reusable launch vehicles are promising areas of development and theoretical research in the field of systems for the maintenance, repair, restoration, and operation of aircraft, including reusable transport rocket and space systems, are relevant. The article is aimed at harmonizing the design solutions of technical systems related to measures for their maintenance during storage. The purpose of the article is to develop methods and algorithms that allow matching performance characteristics and design solutions. The scientific problem is solved by compiling and analyzing the state graph of maintenance models using the Kolmogorov system of differential equations. As a result, the models obtained make it possible to predict the performance of maintenance of complex technical systems during storage and explore the possibility of reducing downtime for maintenance without a significant decrease in the quality of maintenance, namely: to evaluate the optimal maintenance period, to agree on the reserve ratio and maintenance period (costs maintenance depending on the ratio of the reserve), choose the optimal strategy for scheduled maintenance, taking into account the continuous monitoring of the technical condition of the aircraft, evaluate the intensity of failure recovery during continuous and periodic monitoring, and justify the most appropriate ways to improve the quality of service, provided that downtime for maintenance is limited and predict the probability of detecting faults during maintenance.

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复杂技术系统在存储期间的维护指标预测
可重复使用运载火箭的设计、生产、测试和运行是很有前途的发展领域,在飞机的维护、修理、恢复和运行系统领域,包括可重复使用的运输火箭和太空系统,理论研究都是相关的。这篇文章旨在协调与储存期间维护措施相关的技术系统的设计解决方案。本文的目的是开发允许匹配性能特征和设计解决方案的方法和算法。通过使用Kolmogorov微分方程组编译和分析维护模型的状态图来解决科学问题。因此,所获得的模型可以预测复杂技术系统在存储期间的维护性能,并探索在不显著降低维护质量的情况下减少维护停机时间的可能性,即:评估最佳维护期,商定储备比率和维护周期(维护成本取决于储备比率),选择计划维护的最佳策略,考虑对飞机技术状况的持续监测,评估连续和定期监测期间的故障恢复强度,并证明在维护停机时间有限的情况下提高服务质量的最合适方法,并预测维护期间检测到故障的概率。
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来源期刊
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
期刊介绍: Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion
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