为全面识别复杂系统故障模式，根据基于模型的系统工程(model-based systems engineering，MBSE)的思想，提出在复杂系统正向化设计与建模过程中，同步从功能、性能、结构3个维度识别潜在故障的方法;并依据系统建模语言(system modeling language，SysML)的扩展机制建立相对应的故障基础模型，用于对故障模式及相关要素进行建模。以新一代载人飞船推进系统为例，详述故障识别与建模流程。所提方法基于MBSE规范化、标准化、全维度的建模过程，用于实现对复杂系统潜在故障的全面识别及建模，避免以往依赖个人经验和能力、难以全面识别故障的问题，为基于模型的复杂系统可靠性分析、安全性分析提供基础。
Model-based fault identification and modeling method for space propulsion system
To comprehensively identify the fault modes of complex systems,a method based on model-based systems engineering(MBSE)principles is proposed to synchronously identify potential faults from the three dimensions of functionality,performance,and structure in the forward design and modeling process of complex systems.Utilizing the extension mechanism of the system modeling language(SysML),the corresponding fault base models are developed for modeling fault modes and associated elements.Taking the propulsion system of the new generation manned spacecraft as an example,the process of fault identification and modeling is described in detail.The proposed method,rooted in the standardized,normalized,and multi-dimensional fault modeling process of MBSE,enables thorough identification and modeling of potential faults in complex systems,avoiding the problem of previous methods that heavily relied on individual expertise and judgment,which provides a foundation for reliability and safety analysis in model-based complex system domains.
model-based system engineering(MBSE)fault identificationfault modelingreliability analysissafety analysispropulsion system
万方数据
维普
