基于贝叶斯理论的汽轮发电机密封油系统故障诊断方法

Turbine Generator Sealing Oil System Fault Diagnosis Technique Based on Bayesian Networks

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。

Based on analysis of fault of the turbine generator sealing oil system, the application ot Bayesian theory m 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.