Power Transformer Fault Diagnosis Model Based on Association Rules Analysis

In order to diagnose the power transformer fault effectively, a model to diagnose the fault of power transformer, which is based on association rules analysis, is proposed in this paper. Firstly, the cloud concept of transformer state parameters and states are acquired by using the cloud theory, and the Apriori algorithm is applied to mining the association rules between the transformer state parameter and the states of power transformer. Secondly, according to the association rules, an analysis model of transformer state based on cloud-petri network is established, which can get the possibility of each state. The example shows that compare with IEC, BPNN, SVM, the analysis model based on could-petri network has faster response time or higher accuracy, which can diagnose the power transformer fault more effectively and reasonably.