摘要
以水轮发电机组故障诊断为研究对象,以MAS(多代理系统)理论为基础,研究面向故障类型的MAS故障诊断技术。针对现在水电机组故障诊断系统结构不完善以及知识表示方法和诊断算法单一等缺点,设计基于MAS的水电机组故障诊断系统。采用模糊算法进行诊断任务的分解,采用神经网络进行面向故障类型的精确诊断。对水电机组发生的故障进行仿真,结果表明基于MAS的水电机组故障诊断系统可以准确诊断出水电机组所发生故障的类型及严重程度。
The paper embarks from the present situation of intelligent diagnosis technology, taking malfunction diagnosis for hydroelectric generating sets as the research object, taking the MAS theory as the foundation and proposes special diagnosis for MAS. In view of the limitation of present fault diagnosis system for hydroelectric sets and the singleness of method, the paper brings the new hydroelectric sets fault diagnosis system based on MAS. The paper has studied the hydroelectric generating sets fault diagnosis strategy based on agent. The fuzzy algorithm is used for analyzing the diagnosis task in system agent. The neural network is used for exact analyzing the fault type in diagnosis agent. Finally, the paper take the simulated example about the fault which will occurs to electrical machinery through the reality calculated. The simulation result indicated the fault decomposition as well as malfunction diagnosis for agent can complete the system analysis, which conformed to the precision requirement of system diagnosis.
出处
《电力科学与工程》
2008年第9期36-40,共5页
Electric Power Science and Engineering
关键词
MAS
智能AGENT
水轮发电机组
故障诊断
知识表示
模糊算法
神经网络
Multi-agent System （M.AS）
intelligent agent
hydroelectric generating sets
fault diagnosis
knowledgerepresentation
fuzzy algorithm
neural network
