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基于贝叶斯网络的锅炉故障诊断专家系统的研究

Boiler Fault Diagnosis Expert Based on Bayesian Network

【作者】 陈旭

【导师】 刘延泉;

【作者基本信息】 华北电力大学(河北) , 控制理论与控制工程, 2008, 硕士

【摘要】 本文以锅炉常见故障为对象,通过分析锅炉故障的特点,提出了基于贝叶斯网络的专家系统。对贝叶斯网络理论进行了论述,分别研究了贝叶斯网络的基础理论及贝叶斯网络的网络推理方法。在专家系统的数据库设计中用面向事件的方法来表示浅知识,用面向对象的贝叶斯网络来表示锅炉故障中的不确定知识,在专家系统的推理机种引入了贝叶斯网络团树精确推理方法。建立了一个故障诊断专家系统,并用实例证明了系统在锅炉故障诊断中的有效性。

【Abstract】 By analyzing the failure of the characteristics of the boiler, this article considers boiler fault as the common object , then make a expert system based on Bayesian network. We have a discussion on Bayesian network theory, To study the basis of a Bayesian network theory and Bayesian inference methods network of networks. In the expert system database ,using Event-Oriented method to represent the shallow knowledge and using Object-Oriented Bayesian network to represent the knowledge of uncertainty of the failure of boiler, in the expert system inference engine, using Bayesian network group tree accurate method of reasoning. Building a fault diagnosis expert system ,using a example to proof the usefulness of this system in boiler fault diagnosis.

【关键词】 锅炉故障专家系统贝叶斯网络
【Key words】 boiler failureexpert Systembayesian network
  • 【分类号】TP182;TK228
  • 【被引频次】9
  • 【下载频次】333
  • 攻读期成果
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