粗糙集理论在电力变压器故障诊断中的应用

Rough set theory based fault diagnosis on power transformers

由于电力变压器具有较强的不确定性的特点,本文将粗糙集理论的基本思想引入到变压器的故障诊断中,提出了一种新型的基于粗糙集的电力变压器故障诊断方法。通过试验表明,该方法正确率高,有推广价值。

Because the testing data of power transformers for their condition evaluationhave uncertainty characteristic, and there is little knowledge and human experienceon transformer fault diagnosis, the rough set theoryis usedto diagnose transformers. This paper presentsa new type fault decision modelbased on rough set theory. The traditional dissolved gas-in-oil analysis (DGA) for power transformers'condition evaluation and rough set theory based fault diagnosis are combined in the diagnostic model. The results of using the proposed model to analyzesome knownsamples of testing data of faulty transformers shows that the model possesses strong solving ability to deal with uncertain facts.