In order to solve the problems of tradition three-ratio method,this article proposes a transformer fault diagnosis model based on cloud model and three-ratio method.Firstly,the cloud model of three ratios of dissolved gas in oil is estab-lished.Then,the cloud model is constantly modified by filtering data.Eventually,it combines mining association rules to deter-mine the transformer fault type.The results show that this method not only overcomes the shortcomings of IEC three-ratio method,such as misdiagnosis of boundary position,missing coding,inability to diagnose multiple faults,etc,but also makes up for the shortcoming of the fuzzy three-ratio method in ignoring randomness,and makes the three ratio method have the ability of self-adaptive monitoring and learning,which provides a more effective basis for transformer fault diagnosis.
power transformerfault diagnosiscloud modelthree-ratio method
NETL
NSTL
万方数据
