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基于多智能体的复杂工程系统故障诊断研究
引用本文:朱大奇,纪志成.基于多智能体的复杂工程系统故障诊断研究[J].计算机集成制造系统,2004,10(6):699-703.
作者姓名:朱大奇  纪志成
作者单位:江南大学通信与控制工程学院,江苏无锡214036
基金项目:安徽省自然科学基金资助项目(2002KJ044),江南大学人才引进基金资助项目(0002133)。~~
摘    要:为了解决动态多变环境下的故障诊断问题,引入智能Agent技术,建立了一种基于多Agent的分布式故障诊断模型,该模型由多个分布于不同区域的Agent工作组组成,是一个分布式远程多Agent诊断系统。该系统主要由诊断Agent和管理Agent组成,通过各Agent之间的通信与协作实现多变环境下的故障诊断。实践证明,该诊断系统不仅能对各种故障作出及时反应,而且能准确给出诊断结果。

关 键 词:分布式人工智能  信息融合  故障诊断  证据理论
文章编号:1006-5911(2004)06-0699-05
修稿时间:2003年6月15日

Fault Diagnosis for Complex Engineering System Based on Multi-agents
ZHU Da-qi,JI Zhi-cheng.Fault Diagnosis for Complex Engineering System Based on Multi-agents[J].Computer Integrated Manufacturing Systems,2004,10(6):699-703.
Authors:ZHU Da-qi  JI Zhi-cheng
Abstract:To fulfill the fault diagnosis under dynamic environment, a distributed fault diagnosis model was presented based on multi-agents for constant and dynamic conditions. As a distributed remote multi-agent diagnosis system, the model consisted of several widely distributed Agent Workgroups. This model was mainly made up of the diagnosis-agent and the management-agent. The former was composed of multi-sensors information fusion algorithm while the latter functions through blackboard model. Then, the fault diagnosis under dynamic environment was realized through communication and cooperation among various agents. Finally, by analyzing an experiment result, it is shown that the model is effective.
Keywords:distributed artificial intelligent  information fusion  fault diagnosis  evidential theory
本文献已被 CNKI 维普 万方数据 等数据库收录!
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