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多Agent在变压器故障诊断中的研究
引用本文:赵文清,张胜龙,牛东晓.多Agent在变压器故障诊断中的研究[J].电力自动化设备,2011,31(1):23-27.
作者姓名:赵文清  张胜龙  牛东晓
作者单位:华北电力大学控制与计算机工程学院;华北电力大学经济与管理学院;
基金项目:河北省自然科学基金项目(E2009001392); 中央高校基本科研业务费专项资金资助项目~~
摘    要:提出一种基于多Agent的变压器故障诊断模型,该模型包含3个诊断Agent、1个管理Agent和1个融合Agent.各诊断Agent的建立以NB、SB和TAN 3种贝叶斯分类器算法为基础,以所获取的变压器油中溶解气体数据为依据.由管理Agent调节和控制,达到各诊断Agent协商诊断的效果.由融合Agent根据管理Ag...

关 键 词:电力变压器  故障诊断  多Agent  贝叶斯网络

Transformer fault diagnosis based on multi-Agent
ZHAO Wenqing,ZHANG Shenglong and NIU Dongxiao.Transformer fault diagnosis based on multi-Agent[J].Electric Power Automation Equipment,2011,31(1):23-27.
Authors:ZHAO Wenqing  ZHANG Shenglong and NIU Dongxiao
Affiliation:ZHAO Wenqing1,ZHANG Shenglong1,NIU Dongxiao2(1.School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China,2.School of Business Administration,China)
Abstract:A diagnosis model based on multi-Agent system is proposed for transformer faults,including three diagnosis Agents,a management Agent and a fusion Agent.According to the obtained data of dissolved gas in transformer oil,the diagnosis Agent is established based on three Bayesian classifier algorithms:NB,SB and TAN.These diagnosis Agents are regulated and controlled by the management Agent to achieve a coordinated diagnosis effect.The fusion Agent will determine the final transformer fault type by fusing the c...
Keywords:power transformer  fault diagnosis  multi-Agent  Bayesian network  
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