【摘要】 针对目前航天器在贮存和使用期间故障支撑数据少、单机故障难以预测等特点，本文通过梳理航天器控制系统核心单机——配电系统的薄弱环节、失效机理等，进行失效模式及故障影响分析，并开展航天器寿命表征指标体系和数字化仿真研究。本文建立了配电器单机的机理模型，并在此基础上分析导致产品失效的退化过程，对单机模型进行了故障注入仿真，借助机器学习算法对获取的故障仿真数据集进行分析处理，以此构架航天器工作可靠性和健康状态仿真分析评估体系，为探索航天器的寿命老化规律、解决航天器健康状态评估困难等问题提供数据和技术支持。更多还原

【Abstract】 The research is carried out in this paper based on the characteristics of aerospace vehicle storage and operation, such as lack of data, and difficulty in predicting fault of key subsystems and components. Firstly, the failure modes and effects are presented by analyzing the weakness and failure rule of part of the aerospace vehicle power distribution system.At the same time, evaluation indices to reflect the characteristics of aerospace vehicle useful life and the digital simulation are put forward. The digital models of aerospace vehicle distributor are established, and based on the simulation results, the degradation process is summarized. Furthermore, the fault modes are injected to the digital model and based on the simulation data, machine learning algorithms are built to assess the reliability and predict the health of system. This project indeed is practical to space aerospace vehicle with limitations aforementioned, and provides data and technical support for exploring the aging mechanism of aerospace vehicle and assessing its health.更多还原