基于贝叶斯网络和DGA的变压器故障诊断

INTELLIGENT FAULT DIAGNOSIS FOR POWER TRANSFORMER BASED ON BAYESIAN NETWORK AND DGA

用 3步法构造贝叶斯网络 (BN)方法 ,结合油中溶解气体分析 (DGA)的三比值法后 ,引入大型变压器的故障诊断 ,提出了基于BN理论和DGA方法的变压器智能故障诊断模型。 2

This paper presents a new transformer fault diagnosis method based on Bayesian network (BN) and dissolved gas analysis (DGA) technique. It constructs the transformer fault diagnosis model based on BN and DGA. Finally, the application examples in the fault diagnosis of transformer are given which shows that this method is effective.