贝叶斯网络在汽轮机故障诊断中的应用  

Application of Bayesian Networks in Fault Diagnosis of Turbine Unit

作　　者：张德利[1] 韩璞[1] 焦嵩鸣[1] 王娜[1] 赵周明 

机构地区：[1]华北电力大学,河北071003 [2]山西阳光发电有限责任公司,山西045200

出　　处：《微计算机信息》2007年第28期144-146,共3页Control & Automation

摘　　要：针对在汽轮发电机组振动故障诊断中的不确定性问题,提出了应用贝叶斯网络对其进行推理和诊断。本文介绍了贝叶斯网络的建模方法与推理机制,并通过专家系统的建模过程与诊断实例,证明了应用贝叶斯网络对汽轮发电机组进行故障诊断所具有的独特优点。Aiming at the uncertainty in vibration fault diagnosis of turbine generator unit, the theory and method of Bayesian Networks are proposed for inference and fault diagnosis of turbine 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.

关 键 词：贝叶斯网络 汽轮机 故障诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]