Fault Diagnosis of Partial Discharge in the Transformers Based on the Fuzzy Neural Networks

Transformer is a very important equipment in the power system. In order to ensure security and stability of the work,it is an urgent demand to carry on a fault diagnosis of partial discharge. This paper presents an approach of combination of wavelet singularity detection theory and fuzzy neural network to carry on a fault diagnosis of partial discharge. The experimental results show that this method is an effective way in fault diagnosis of partial discharge.