基于多agent技术的协同诊断策略研究

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (8): 177-179.

基于多agent技术的协同诊断策略研究

胡建中许飞云贾民平钟秉林

东南大学机械系东南大学机械系东南大学机械系东南大学机械系

收稿日期:2006-07-14 修回日期:1900-01-01 出版日期:2007-03-11 发布日期:2007-03-11
通讯作者: 胡建中

Research on the multi-agent-based Collaborative diagnosis strategy

Hu Jianzhong Xu Feiyun Jia Minping Zhong Binglin

College of Mechanical Engineering, Southeast University Nanjing 210096

Received:2006-07-14 Revised:1900-01-01 Online:2007-03-11 Published:2007-03-11

摘要/Abstract

摘要： 针对已有诊断系统的知识可重用性差、问题求解能力不足的缺点，研究了基于多agent技术的多专家协同诊断系统，给出了系统的体系结构。采用模糊积分方法进行多专家诊断的结论融合，为了寻找最优的模糊密度值，提出了利用遗传算法进行模糊密度值优化，提高基于模糊积分方法的多专家诊断结论融合精度。针对所提出的算法，结合工程实际数据进行了分析，结果表明了该方法的有效性。

关键词: 协同诊断 agent 模糊积分遗传算法

Abstract: In allusion to the bad reusability of knowledge, deficient ability of problem solving of developed fault diagnosis systems, the Collaborative Diagnosis System based on the multi-agent technical is studied, the construct of the system is given. The fuzzy integral based fusion method is adopted in multi-experts fault diagnosis system, to determine the optimal fuzzy integral measure, the genetic algorithm is used to search the optimal fuzzy integral measure values to improve the fusion accuracy of the multi-experts diagnosis decisions. For the presented algorithm, a engineering data is analyzed, the result shows the validity of the algorithm.

Key words: Collaborative diagnosis, agent, Fuzzy Integral, Genetic Algorithm

胡建中许飞云贾民平钟秉林. 基于多agent技术的协同诊断策略研究[J]. 计算机工程与应用, 2007, 43(8): 177-179.

Hu Jianzhong Xu Feiyun Jia Minping Zhong Binglin. Research on the multi-agent-based Collaborative diagnosis strategy[J]. Computer Engineering and Applications, 2007, 43(8): 177-179.