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贝叶斯网络在水电机组故障诊断中的应用研究
Application of Bayesian Networks in fault diagnosis of hydroelectric unit
【摘要】 分析了传统故障诊断方法对于处理实际系统中的不确定性问题时所存在的不足,将贝叶斯网络的理论与方法应用到水电机组故障诊断中,介绍了贝叶斯网络的建模方法与推理机制,并通过一个专家系统的建模过程与诊断结果,证明了基于贝叶斯网络的水电机组故障诊断专家系统所具有的独特优点。
【Abstract】 The paper analyses the existing shortcomings in traditional methods which are used to tackle uncertainty in fault diagnosis.The theory and method of Bayesian Networks are applied into fault diagnosis of hydroelectric unit,the modeling method and inference mechanism are introduced.The unique advantages of fault diagnosis expert system based on Bayesian Networks are illustrated by modeling process and diagnosis results of expert system. Some disadvantages are discussed.
【关键词】 水轮发电机组;
故障诊断;
贝叶斯网络;
专家系统;
【Key words】 hydroelectric set; fault diagnosis; Bayesian Networks; expert system;
【Key words】 hydroelectric set; fault diagnosis; Bayesian Networks; expert system;
- 【文献出处】 华北电力大学学报 ,Journal of North China Electric Power University , 编辑部邮箱 ,2004年05期
- 【分类号】TP277
- 【被引频次】56
- 【下载频次】359