Bayesian Neural Network and Discrete Wavelet Transform for Partial Discharge Pattern Classification in High Voltage Equipment

Abstract — Partial discharge (PD) pattern recognition has been applied for identifying the types of insulation defects in high voltage (HV) equipment. It can provide an effective means for condition assessment of the insulation system of HV equipment. This paper proposes a novel Bayesian neural network (BNN) and discrete wavelet transform (DWT) hybrid algorithm for PD pattern recognition. Laboratory experiments on a number of PD models have been conducted for evaluating the performance of the proposed algorithm. Index Terms-- Bayesian neural network (BNN), discrete wavelet transform (DWT), Partial Discharge (PD), and pattern recognition. I