| 基于MAS的故障诊断任务分解研究 |
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| 引用本文： | 彭显刚,刘艺,陈少华.基于MAS的故障诊断任务分解研究[J].广东教育学院学报,2006,26(3):97-101. |
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| 作者姓名： | 彭显刚 刘艺 陈少华 |
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| 作者单位： | 广东工业大学自动化学院,广东广州510090 |
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| 基金项目： | 广东省教育厅自然科学基金 |
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| 摘 要： | 在传统故障诊断基础上，将多Agent技术（MAS）应用于复杂系统故障诊断领域，是求解复杂过程故障诊断问题的一种新尝试．研究了基于MAS的分布式智能故障诊断模型，基于一种分布式Agent诊断系统结构原型系统，重点研究了诊断问题的任务辨识、分解问题，构建了基于Agent的任务分配的综合遗传算法和模拟退火算法的混合算法．应用表明，该算法具有很好的可扩展性、适应性和稳定性．
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| 关 键 词： | 智能故障诊断 多Agent系统(MAS) 遗传算法 模拟退火算法 |
| 文章编号： | 1007-8754（2006）03-0097-05 |
| 收稿时间： | 03 2 2006 12:00AM |
| 修稿时间： | 2006-03-02 |
A Research on Task Decomposition of Fault Diagnosis Based on Multi-agent |
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| PENG Xian-gang,LIU Yi,CHEN Shao-hua.A Research on Task Decomposition of Fault Diagnosis Based on Multi-agent[J].Journal of Guangdong Education Institute,2006,26(3):97-101. |
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| Authors: | PENG Xian-gang LIU Yi CHEN Shao-hua |
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| Institution: | Faculty of Automation, Guangdong University of Technology, Guangzhou, Guangdong, 510090, P. R. China |
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| Abstract: | Based on traditional fault diagnosis,the introduction of multi-agent system(MAS) to the complicated fault diagnosis is a new attempt to solve its process problems.The paper discusses the methods and model of the distributed intelligence fault diagnosis based on MAS.A systematical system or prototype system based MAS are put forward.The task recognition,decomposition and distribution of the fault diagnosis problem are also discussed.A mixture algorithm that combines the genetic algorithm(GA) with simulated annealing algorithm(SA) is put forward, based on the task distribution of the fault diagnosis problem.When applied on monitor and controlling system of electric enterprise,the application result shows that algorithm have great extensibility,adaptability and stabilization. |
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| Keywords: | intelligence fault diagnosis multi-agent system(MAS) genetic algorithm(GA) simulated annealing algorithm(SA) |
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