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基于贝叶斯理论的汽轮发电机密封油系统故障诊断方法
引用本文:田质广,张慧芬.基于贝叶斯理论的汽轮发电机密封油系统故障诊断方法[J].润滑与密封,2006(4):152-156.
作者姓名:田质广  张慧芬
作者单位:1. 山东交通学院信息工程系,山东,济南,250002
2. 济南大学控制科学与工程学院,山东,济南,250061
基金项目:教育部科学技术研究项目
摘    要:在分析汽轮发电机密封油系统故障特点的基础上,提出了用贝叶斯理论进行故障诊断的方法,给出了求解故障诊断的数学表达式,充分利用样本的先验信息,建立了贝叶斯网络的推理方法,结合Leaky Noisy-OR模型来降低数据需求量,提高了诊断速度和效率。验证了该方法的有效性,实现了故障的前期预报和故障原因的快速诊断。

关 键 词:密封油系统  贝叶斯网络  故障诊断
文章编号:0254-0150(2006)4-152-5
收稿时间:2005-05-08
修稿时间:2005年5月8日

Turbine Generator Sealing Oil System Fault Diagnosis Technique Based on Bayesian Networks
Tian Zhiguang,Zhang Huifen.Turbine Generator Sealing Oil System Fault Diagnosis Technique Based on Bayesian Networks[J].Lubrication Engineering,2006(4):152-156.
Authors:Tian Zhiguang  Zhang Huifen
Affiliation:1. Department of Information and Engineering, Shandong Jiaotong University, Jinan Shandong 250002, China ; 2. School of Control Science and Engineering,Jinan University ,Jinan Shandong 250061, China
Abstract:Based on analysis of fault of the turbine generator sealing oil system,the application of Bayesian theory in fault diagnosis was researched,the mathematics equation to solve the problem of fault diagnosis was given.Using earlier text of sufficiency stylebook,the ratiocinating method was established;using Leaky Noisy-OR model to reduce data quantity,the speed and efficiency of fault diagnosis was improved.The availability of this method was proved by faults diagnosis of turbine generator,the fault forecast and speeding diagnosis was realized.
Keywords:sealing oil system  Bayesian networks  fault diagnosis
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