Pattern recognition of partial discharge with fractal analysis to characteristic spectrum

While partial discharge (PD) pattern recognition is widely considered as an important method to test insulation degradation, the major problem encountered is the extraction of PD pattern features. Using the analysis of the three-dimensional statistical spectrum, this paper adopts fractal theory to extract PD pattern features. From designed model tests and fraction calculation results, it is shown that the method is effective in extracting PD pattern features which are helpful in PD pattern recognition based on three-dimensional statistical spectrs.