The Wavelet Filters Recognising of Partial Discharge Location

Abstract

Partial discharge (PD) signals and monitoring are used to evaluate the condition of insulation in several power devices. This is the dominant investigation tool for condition monitoring of insulation is PD measurements in high voltage equipment. There are several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) that severely polluted the PD signal. This pollution noise is the major problem behind PD signal and the big challenge is to removing these noise from the onsite PD data effectively. Removing it will leads to preserving the signal for feature extraction. Compared to conventional signal processing techniques, the use of the wavelet transform (WT) technology offers many advantages and is ideally suited for processing high voltage transients and measurements. In analyzing signals with interesting transient information such as PD signals WT seems to be more suitable than traditional Fourier Transform.