基于SysML的空间有效载荷系统故障诊断方法
doi: 10.11728/cjss2024.06.2023-0109 cstr: 32142.14.cjss.2023-0109
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金鑫 男, 1998年12月出生于上海市, 现为中国科学院大学飞行器设计专业硕士研究生, 主要研究方向为飞行器总体设计、系统工程和空间态势感知. E-mail: jinjessy@163.com -
贺宇峰 男, 1979年10月出生于陕西省榆林市, 现为中国科学院空间应用工程与技术中心研究员、硕士生导师, 主要研究方向为计算机应用、自动测试. E-mail: heyufeng@csu.ac.cn
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通讯作者:
SysML-based Fault Diagnosis Method for Space Payload Systems
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摘要: 针对空间有效载荷系统高复杂性和高可靠性需求的特性, 设计了一种基于SysML (System Modeling Language)的故障诊断方法. 该方法融入MBSE (Model Based System Engineering)思想, 提出了基于SysML的空间有效载荷系统故障分析流程. 基于SysML对空间有效载荷系统建立了故障分析相关的模型, 其中, 为满足故障分析建模的需求, 对SysML元模型进行扩展定义, 从而实现对组件间关系和故障表征与直接关联组件间关系的描述; 基于所建模型构建故障诊断的整体框架, 并提供从SysML数字模型到FTA (Fault Tree Analysis)的转换逻辑, 从而实现对所有故障可能性的获取. 通过案例分析, 对提出方法在实际应用中的具体流程进行分析, 并验证了该方法的有效性和实用性.Abstract: Aiming at the characteristics of high complexity and high reliability requirements of space payload systems, a fault diagnosis method based on SysML (System Modeling Language) is designed. The method incorporates the idea of MBSE (Model Based System Engineering), and proposes a failure analysis process of space payload system based on SysML. First, a failure analysis related model is established for the space payload system based on SysML, in which the SysML meta-model is extended and defined to meet the needs of failure analysis modeling, thus realizing the description of inter-component relationships and the relationship between the fault characterization and the directly related components. Then, an overall framework for fault diagnosis is constructed based on the constructed model, and the conversion logic from the SysML models to FTA (Fault Tree Analysis) is provided, thus finally obtaining all fault possibilities. Finally, this paper demonstrates the specific process of the method in practical application through case studies and verifies the effectiveness and practicality of the method.
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Key words:
- System modeling language /
- Space payload /
- Fault diagnosis /
- Fault tree analysis
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图 17 故障树逻辑符号与Petri网的转换关系
Figure 17. Conversion of fault tree logic symbols to Petri nets
表 1 SysML模型信息
Table 1. SysML model information
信息列表名称 信息列表格式 释义 Bloc kList [{Block1 Name, Block1 Xmi.id}, …] 以元组的形式存放每一个模块的信息, 包括Block的名字、xmi.id. Reuse Block List [{Reuse Block1 Name, Reuse Block1 Xmi.id, Prototype Xmi.id }, …] 以元组的形式存放每一个重用模块的信息, 包括Reuse Block的名字、xmi.id和原型Block的xmi.id. Port List [{Port1 Name, Port1 Xmi.id, Owner Xmi.id}, …] 以元组的形式存放每一个端口的信息, 包括Port的名字、xmi.id和拥有者Block的xmi.id. Value Type List [{Value Type1 Name, Value Type1 Xmi.id}, …] 以元组的形式存放每一个值类型的信息, 包括ValueType的名字和xmi.id. Fault List [{Fault1 Name, Fault1 Xmi.id},...] 以元组的形式存放每一个故障表征的信息, 包括故障表征的名字、xmi.id. Aggregation List [{Source1 Xmi.id, Target1 Xmi.id}, ...] 以元组的形式存放每一个组合关联的信息, 包括提供者和客户端的xmi.id. Connector List [{Source1 Xmi.id, Source Is Navigable, Target1 Xmi.id, Target Is Navigable}, ...] 以元组的形式存放每一个连接器的信息, 包括提供者和客户端的xmi.id以及是否可以为被指向者 Substitution List [{Source1 Xmi.id, Target1 Xmi.id}, ...] 以元组的形式存放每一个替换关联的信息, 包括提供者和客户端的xmi.id. Relevance List [{Source1 Xmi.id, Target1 Xmi.id}, ...] 以元组的形式存放每一个相互关联的信息, 包括提供者和客户端的xmi.id. 
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表 2 “系统数据存储故障”故障树模型底事件
Table 2. Fault tree model of “system data storage failure” bottom event
事件 符号 事件 符号 系统数据计算单元自身故障 X1 系统数据接口转换单元自身故障 X9 系统计算管理单元自身故障 X2 系统数据管理单元自身故障 X10 系统存储管理单元1自身故障 X3 平台系统网故障 X11 系统数据存储单元1自身故障 X4 实验装置加断电开关故障 X12 系统存储管理单元2自身故障 X5 程控单元故障 X13 系统数据存储单元2自身故障 X6 系统信息装置加断电开关故障 X14 系统主控单元自身故障 X7 信息装置加断电开关故障 X15 系统数据交换总线自身故障 X8 系统实验数据信息接口故障 X16
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表 3 “系统数据存储故障”故障树模型底事件
Table 3. Fault tree model of “system data storage failure” bottom event
事件 符号 事件 符号 系统数据计算单元自身故障 P1 程控单元故障 P12 系统计算管理单元自身故障 P2 系统信息装置加断电开关故障 P13 系统存储管理单元1自身故障 P3 系统实验数据信息接口故障 P14 系统数据存储单元1自身故障 P4 系统网络计算节点自身故障 P15 系统存储管理单元2自身故障 P5 系统网络存储节点1自身故障 P16 系统数据存储单元2自身故障 P6 系统网络存储节点2自身故障 P17 系统主控单元自身故障 P7 系统配电器故障 P18 系统数据交换总线自身故障 P8 系统信息装置自身故障 P19 系统数据接口转换单元自身故障 P9 系统信息装置输入故障 P20 系统数据管理单元自身故障 P10 系统信息装置故障 P21 平台系统网故障 P11
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