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基于贝叶斯网络的电容型设备故障诊断
引用本文:王永强,律方成.基于贝叶斯网络的电容型设备故障诊断[J].电网技术,2009(17).
作者姓名:王永强  律方成
作者单位:华北电力大学电气与电子工程学院;
摘    要:电容型设备的绝缘故障不仅影响整个变电站的安全运行,还危及其它设备及人身安全,因此对电容型设备进行准确的故障诊断具有重要意义。基于贝叶斯网络理论,综合电容型设备的各种检测数据,提出了电容型设备故障诊断的贝叶斯网络模型,将贝叶斯网络方法引入电容型设备的故障诊断中,根据电容型设备故障诊断及维修的特点改进了贝叶斯网络的推断过程。故障实例的诊断结果验证了文中方法的正确性和有效性。

关 键 词:电容型设备  贝叶斯网络  故障诊断  

Fault Diagnosis for Capacitive Equipments Based on Bayesian Network
Abstract:The insulation fault of capacitive equipments not only affects secure operation of whole substation,but also jeopardizes other equipments and personal safety,so accurate fault diagnosis of capacitive equipments is very significant. Based on Bayesian network theory and integrating detected data of capacitive equipments,a Bayesian network model that leads Bayesian network method into fault diagnosis of capacitive equipment is proposed. According to the features of fault diagnosis and maintenance of capacitive...
Keywords:capacitive equipment  Bayesian network  fault diagnosis  
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