基于支持向量机和多Agent融合的智能故障诊断系统研究  

Research on the Intelligent Fault Diagnosis System Based on the Fusion of Support Vector Machine and Multi-Agent

作　　者：姜万录[1] 程晓盛[1] 陈东宁[1] 

机构地区：[1]燕山大学机械工程学院,河北秦皇岛066004

出　　处：《五邑大学学报（自然科学版）》2005年第3期13-18,共6页Journal of Wuyi University(Natural Science Edition)

基　　金：河北省教育厅博士基金资助项目(B2004128).

摘　　要：提出一种基于支持向量机分类和多Agent的分布式智能诊断结构模型,该模型将慎思Agent和反应Agent结合起来,构造了混合结构的诊断维护Agent,同时运用支持向量机理论进行故障分类,充分发挥各自的优势,提高了故障诊断的智能性、快速性和准确性.A distributed intelligent diagnosis system based on support vector machine classifier and multi-Agent is advanced. A complex structure of diagnosis and maintenance Agent is constructed combining the deliberative Agent and the reactive Agent. The support vector machine is applied to the faults classification. By combining their advantages, the intelligent ability, the rapidity and the accuracy of the fault diagnosis are improved.

关 键 词：智能故障诊断 支持向量机 AGENT 

分 类 号：TP306[自动化与计算机技术—计算机系统结构]