[1]陆宝春,张卫,徐永新.基于知识影响图的多Agent集成诊断与决策[J].南京理工大学学报(自然科学版),2003,(03):281-285.
 LuBaochun ZhangWei XuYongxin.Multi-Agent Integrated Diagnosis and Decision-making Based on Knowledge Influence Diagrams[J].Journal of Nanjing University of Science and Technology,2003,(03):281-285.
点击复制

基于知识影响图的多Agent集成诊断与决策()
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2003年03期
页码:
281-285
栏目:
出版日期:
2003-06-30

文章信息/Info

Title:
Multi-Agent Integrated Diagnosis and Decision-making Based on Knowledge Influence Diagrams
作者:
陆宝春张卫徐永新
南京理工大学机械工程学院, 南京210094
Author(s):
LuBaochun ZhangWei XuYongxin
School of Mechanical Engineering,NUST,Nanjing 210094
关键词:
多Agent 系统 故障诊断 知识影响图 智能决策
Keywords:
mult-i Agent system fault diagnosis knowledge influence diag ram intelligent decision-making
分类号:
TP391.7
摘要:
建造一种包括应用Agent和系统Agent的 2层多Agent诊断系统结构 ,提出应用Agent诊断与决策及系统Agent全局决策的集成方案 ;设计基于知识的诊断与决策影响图及推理方法 ,分别用于应用Agent内部的诊断与操作决策、局部的运行决策、以及系统Agent的全局运行决策 ;实例证明了方法的可行性
Abstract:
The architecture of mult-i Agent diagnost ic system, including applicat ion Agents and system Agents is int roduced. T hen, the integrated decision-making scenario, including the local decision-making and the unitary decision-making is presented. The knowledge-based influence diagrams and their reasoning methods are designed to realize the integrated decision-making system, and to use in Agents‘ diagnosis, operating decision-making and local decision-making , and the system Agent. s unitary decision-making. A specific example proved the efficiency of the method.

参考文献/References:

1 陆宝春, 夏敬华, 张世琪. 分布式多Ag ent 诊断系统研究[ J] . 中国机械工程, 1999, 11( 10) :1 256~ 1 259.
2 陆宝春. 支持敏捷制造的新一代控制系统理论、方法及应用研究[ D] . 南京: 南京理工大学,2001.
3 刘金兰, 韩文秀, 李光泉. 关于认知影响图方法的研究[ J] . 系统工程学报, 1997, 12( 1) : 87~95.

相似文献/References:

[1]张捷,薄煜明,吴盘龙,等.存在干扰和数据包丢失的网络控制系统鲁棒H_∞故障诊断[J].南京理工大学学报(自然科学版),2012,36(01):1.
 ZHANG Jie,BO Yu-ming,WU Pan-long.Robust H_∞ Fault Diagnosis for Networked Control Systems with Interference and Data Packet Dropout[J].Journal of Nanjing University of Science and Technology,2012,36(03):1.
[2]陈爱武,贾建芳,吴俊清.基于自适应观测器的线性离散系统故障诊断[J].南京理工大学学报(自然科学版),2011,(03):334.
 CHEN Ai-wu,JIA Jian-fang,WU Jun-qing.Fault Diagnosis for Linear Discrete Systems Based on Adaptive Observer[J].Journal of Nanjing University of Science and Technology,2011,(03):334.
[3]刘永建,朱剑英,曾捷,等.改进BP神经网络在发动机性能趋势分析和故障诊断中的应用[J].南京理工大学学报(自然科学版),2010,(01):24.
 LIU Yong-jian,ZHU Jian-ying,ZENG Jie.Improved BP Neural Network System for Engine Performance Trend Analysis and Fault Diagnosis[J].Journal of Nanjing University of Science and Technology,2010,(03):24.
[4]张培林,等.基于蚁群算法的支持向量机参数优化[J].南京理工大学学报(自然科学版),2009,(04):464.
 ZHANG Bei-lin,QIAN Lin-fang,CAO Jian-jun,et al.Parameter Optimization of Support Vector Machine Based on Ant Colony Optimization Algorithm[J].Journal of Nanjing University of Science and Technology,2009,(03):464.
[5]陈效华* *,魏少华,常思勤,等.基于声强识别的发动机智能化故障诊断系统[J].南京理工大学学报(自然科学版),2005,(01):26.
 CHEN Xiao-hua,WEI Shao-hua,CHANG Si-qin,et al.Intelligent Fault Diagnosis System Based on Sound Intensity Recognition for Engine[J].Journal of Nanjing University of Science and Technology,2005,(03):26.
[6]郑再象,陈效华,徐诚.基于直方图异常模式识别的变速器生产线故障诊断[J].南京理工大学学报(自然科学版),2005,(04):433.
 ZHENG Zai-xiang,CHEN Xiao-hua,XU Cheng.Fault Diagnosis to Product Line of Transmission Based on Identifying Exceptional Pattern in Histogram[J].Journal of Nanjing University of Science and Technology,2005,(03):433.
[7]王树亮,王 东,冯 珍,等.基于小波包-神经网络故障诊断系统研究[J].南京理工大学学报(自然科学版),2004,(04):356.
 WANG Shu liang,WANG Dong,FENG Zhen,et al.Study of Fault Diagnosis System Based on Wavelet Packet-neural Network[J].Journal of Nanjing University of Science and Technology,2004,(03):356.
[8]刘凤玉,李千目,衷宜.基于贝叶斯分类的分布式网络故障诊断模型[J].南京理工大学学报(自然科学版),2003,(05):546.
 LiuFengyu LiQianmu Zhong Yi.A Distributed Network Fault Diagnosis Model Based on Bayesian Classification[J].Journal of Nanjing University of Science and Technology,2003,(03):546.
[9]王树彬,等.基于OPC技术的快速故障诊断实时数据平台设计[J].南京理工大学学报(自然科学版),2007,(06):668.
 WANG Shu-bin,HAN Xiao-dong,WANG Zhi-quan,et al.Design of Fast Fault Diagnosis Real-time Data Platform by OPC Technology[J].Journal of Nanjing University of Science and Technology,2007,(03):668.
[10]许前,郑称德,韩之俊.MTS多类判别研究[J].南京理工大学学报(自然科学版),2002,(01):92.
 XuQian ZhengChengde HanZhijun.Study of Mahalanobis-Taguchi System in Multiple Recognition[J].Journal of Nanjing University of Science and Technology,2002,(03):92.

备注/Memo

备注/Memo:
江苏省自然科学基金资助项目 (BK2 0 0 1 0 57);南京理工大学科研发展基金资助项目
陆宝春 男 38 岁 副教授 工学博士
更新日期/Last Update: 2013-03-17