飞机电源多Agent 预测与健康管理系统研究

doi:10.3778/j.issn.1002-8331.2010.19.066

计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (19): 227-230.DOI: 10.3778/j.issn.1002-8331.2010.19.066

飞机电源多Agent 预测与健康管理系统研究

张莉^1，2，袁海文²

1.陕西师范大学计算机科学学院，西安710062
2.北京航空航天大学自动化科学与电气工程学院，北京100191

收稿日期:2008-12-23 修回日期:2009-02-02 出版日期:2010-07-01 发布日期:2010-07-01
通讯作者: 张莉

Research on prognostic and health management system for aircraft electrical power system
using multi-agent

ZHANG Li^1，2，YUAN Hai-wen²

1.College of Computer Science，Shaanxi Normal University，Xi’an 710062，China
2.School of Automation Science & Electrical Engineering，Beihang University，Beijing 100191，China

Received:2008-12-23 Revised:2009-02-02 Online:2010-07-01 Published:2010-07-01
Contact: ZHANG Li

摘要/Abstract

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。

Abstract: 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.

中图分类号:

张莉^1，2，袁海文². 飞机电源多Agent 预测与健康管理系统研究[J]. 计算机工程与应用, 2010, 46(19): 227-230.

ZHANG Li^1，2，YUAN Hai-wen².

Research on prognostic and health management system for aircraft electrical power system
using multi-agent

[J]. Computer Engineering and Applications, 2010, 46(19): 227-230.

飞机电源多Agent 预测与健康管理系统研究

Research on prognostic and health management system for aircraft electrical power system
using multi-agent

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飞机电源多Agent 预测与健康管理系统研究

Research on prognostic and health management system for aircraft electrical power systemusing multi-agent

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