Analysis and research on the functional architecture of aero-engine health management system

doi:10.11996/JG.j.2095-302X.2025051072

Abstract

Abstract:

To address the challenges of ambiguous requirement boundaries and dynamic architecture optimization in complex systems, integrating the MagicGrid methodology, a five-layer collaborative modeling framework was established, encompassing “scenario-requirement-function-logic-physical” domain. Model-Based Systems Engineering MBSE using the Systems Modeling Language was carried out on the MagicDraw platform, and functional architecture practices were conducted for an aero-engine health management system. The methodology was divided into four critical phases: ① Scenario-driven system boundary definition through internal block diagrams modeling stakeholder interaction topology; ② Scenario verification and requirement integrity analysis using traceability matrices constructed from requirement diagrams; ③ Dynamic functional behavior modeling via combined use case-activity diagrams, where modular decomposition was used to derive technology-neutral logical architectures; ④ Physical implementation modeling employing block definition diagrams and internal block diagram achieving logic-physical decoupling through standardized interface design. The case validation demonstrated that the proposed method achieved significant effectiveness in reducing functional overlap rate, improving prediction efficiency, enabling agile assessment of state impacts, and lowering the false alarm rate. The research not only established a full-lifecycle modeling paradigm for aero-engine health management systems, realizing end-to-end traceability spanning scenarios, requirements, functions, and physical components, but also expanded the engineering application scenarios of graphic methodologies in the MBSE domain. The multi-view collaborative modeling mechanism was shown to be of universal reference value for complex equipment system design, particularly for resolving cross-domain requirement conflicts and supporting traceable architecture evolution.

Key words: aero-engine, health management system, model-based systems engineering, system modeling language, functional architecture

CLC Number:

V263.6

ZHAN Keyi, HUANG Weina, CHUN Daoyong, GUI Yongtao, ZHANG Chunlin. Analysis and research on the functional architecture of aero-engine health management system[J]. Journal of Graphics, 2025, 46(5): 1072-1084.

Figures/Tables 22

References 28

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类型	OOSEM	Harmony-SE	MagicGrid
SysML兼容性	利用SysML的面向对象的概念进行设计，对标准的支持度很高	未完全兼容SysML的9类图，针对指标的计算支持度低	标准兼容性最高，将诸如行为图与参数图结合使用，动态表示系统的指标变化
建模灵活性	面向对象方法通常会引入一些复杂性，特别是对于小型项目或简单的系统工程任务可能会显得过于繁琐	需要较为严格按照流程建模，才能够满足模型的一致性检查或仿真要求；建模过程复杂	对SysML支持完整，可以在方法论制定和剪裁过程中提供好的基础和引导，对各方法论适用性较强
适用领域	原始形式是集成系统和软件工程过程，后进一步完善和发展使其适用范围可以面向对象的软件开发、硬件开发和测试综合	主要被用于大型综合系统和软件开发流程，适用于软件开发和嵌入式软件开发	根据方法论的特性其对机械、电气、液压等物理建模的支持力度较大
工具支持	无专用的OOSEM流程框架工具，可由OMG SysML工具及相关需求管理工具	由IBM提供对Harmony-SE方法支撑，不同阶段的建模过程在Rhapsody软件中都用相应的工具模块支持	用MagicDraw可完整支持方法论，其他工具只要支持SysML标准，也可进行方法论的适配

类型	OOSEM	Harmony-SE	MagicGrid
SysML兼容性	利用SysML的面向对象的概念进行设计，对标准的支持度很高	未完全兼容SysML的9类图，针对指标的计算支持度低	标准兼容性最高，将诸如行为图与参数图结合使用，动态表示系统的指标变化
建模灵活性	面向对象方法通常会引入一些复杂性，特别是对于小型项目或简单的系统工程任务可能会显得过于繁琐	需要较为严格按照流程建模，才能够满足模型的一致性检查或仿真要求；建模过程复杂	对SysML支持完整，可以在方法论制定和剪裁过程中提供好的基础和引导，对各方法论适用性较强
适用领域	原始形式是集成系统和软件工程过程，后进一步完善和发展使其适用范围可以面向对象的软件开发、硬件开发和测试综合	主要被用于大型综合系统和软件开发流程，适用于软件开发和嵌入式软件开发	根据方法论的特性其对机械、电气、液压等物理建模的支持力度较大
工具支持	无专用的OOSEM流程框架工具，可由OMG SysML工具及相关需求管理工具	由IBM提供对Harmony-SE方法支撑，不同阶段的建模过程在Rhapsody软件中都用相应的工具模块支持	用MagicDraw可完整支持方法论，其他工具只要支持SysML标准，也可进行方法论的适配

时间/h	涡轮后温度/℃	控制系统	健康管理系统
0	500	正常控制	记录初始温度，建立温度基线
100	520	正常控制	监控温度变化，分析趋势
200	550	调整燃油供给，降低温度	预测叶片寿命，发出预警
300	580	进一步调整策略	建议检修或部件更换

时间/h	涡轮后温度/℃	控制系统	健康管理系统
0	500	正常控制	记录初始温度，建立温度基线
100	520	正常控制	监控温度变化，分析趋势
200	550	调整燃油供给，降低温度	预测叶片寿命，发出预警
300	580	进一步调整策略	建议检修或部件更换