基于粗大误差检测的变压器故障诊断方法

A New Transformer Fault Diagnosis Method Based on Gross Error Examination

将粗大误差理论引入变压器故障诊断,提出了粗大误差检测与特征气体比值诊断法相结合诊断变压器故障的新方法。通过对特征气体色谱分析得到的测量列进行粗大误差检测来判断变压器是否存在潜在故障,同时根据显著度的数值,得到变压器发生故障的概率。结合特征气体比值法,最终得到变压器的故障类型和故障原因。通过具体故障诊断实例,验证了方法的有效性。

The study applied the gross error theory to the transformer fault diagnosis, proposing a method for transformer fault diagnosis by integrating gross error examination and characteristic gas ratio method. In this way it is possible to judge whether the transformer in face of incipient fault by examining the gross errors of the measurement series of the fault charaeteristic gases, at the same time the fault probability could be calculated according to the remarkable level. And then in combination of the characteristic gas ratio method, the fault category and fault cause of the transformer could be figured out. The method has been validated by an actual fault diagnosis.