| 基于支持向量机和多Agent融合的智能故障诊断系统研究 |
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| 引用本文： | 姜万录,程晓盛,陈东宁.基于支持向量机和多Agent融合的智能故障诊断系统研究[J].五邑大学学报(自然科学版),2005,19(3):13-18. |
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| 作者姓名： | 姜万录 程晓盛 陈东宁 |
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| 作者单位： | 燕山大学,机械工程学院,河北,秦皇岛,066004 |
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| 基金项目： | 河北省教育厅博士基金资助项目(B2004128). |
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| 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.
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| 关 键 词： | 智能故障诊断 支持向量机 Agent |
| 文章编号： | 1006-7302(2005)03-0013-06 |
| 修稿时间： | 2005年3月29日 |
Research on the Intelligent Fault Diagnosis System Based on the Fusion of Support Vector Machine and Multi-Agent |
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| JIANG Wan-lu,CHENG Xiao-sheng,CHEN Dong-ning.Research on the Intelligent Fault Diagnosis System Based on the Fusion of Support Vector Machine and Multi-Agent[J].Journal of Wuyi University(Natural Science Edition),2005,19(3):13-18. |
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| Authors: | JIANG Wan-lu CHENG Xiao-sheng CHEN Dong-ning |
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| Abstract: | 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. |
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| Keywords: | intelligent fault diagnosis support vector machine Agent |
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