New attempts in automated partial discharge identification using pulse sequence analysis

Measuring partial discharge and interpreting its patterns has become a common tool to recognize the type of insulation defects of high voltage equipments. Using statistical features of phase dependent patterns have the most use in PD analysis now. However, these patterns contain less information of PD pulses sequence which is in close relation with defect type. Therefore, nowadays more research studies are conducted in utilizing pulse sequence analysis (PSA) in PD classification. In this literature, a new automated PD classifier based on PSA is introduced and its application is investigated using experimental works on artificial PD defects.