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飞机电源多Agent预测与健康管理系统研究 被引量:5

Research on prognostic and health management system for aircraft electrical power system using multi-agent
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摘要 针对复杂多任务的飞机电源预测与健康管理的需求,以状态维护开放系统体系结构OSA-CBM模型为标准架构,提出一种基于多Agent的飞机电源故障预测与健康管理系统体系结构模型。结合原型系统开发实例,详细阐述了各Agent的功能及相互关系。采用AUML技术构建基于多Agent的AEPHM系统模型,通过AUML协议图描述了Agent之间的主要交互活动。实践表明,该体系结构为航空机载设备预测与健康管理系统建设提供了一种新的设计开发模式。 Aiming at the requirements of complex and multi-mission in AEPHM(Aircraft Electrical Power Prognostic and Health Management System) and using the OSA-CBM(Open System Architecture for Condition-Based Maintenance) model as the standard structure,the architecture based on multi-agent is proposed.Different agents and their correlations are descried by using the example of the prototype system.The system model of AEPHM is constructed by using AUML(Agent Unified Modeling Language).The details of the main interaction of each agent with the other agents are described by AUML protocol diagram.Practice shows that a novel mode to the design and development of PHM system for aircraft airborne equipment is provided.
作者 张莉 袁海文
出处 《计算机工程与应用》 CSCD 北大核心 2010年第19期227-230,245,共5页 Computer Engineering and Applications
基金 国家高技术研究发展计划(863)(No.2007AA04Z215)~~
关键词 预测与健康管理 多智能体系统 飞机电源系统 AUML技术 Prognostic and Health Management(PHM) Multi-Agent System Aircraft Electrical Power(AEF) system Agent Unified Modeling Language(AUML)
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参考文献9

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