Partial Discharge Measurements for Quality in High Assessment of Insulation Systems Voltage Electrical Machinery

Abslroa In this paper, we present B new statistical analysis method of phase resolved partial discharge (PD) measurements for the quality assessment o f the electrical insulation in high voltage machinery. The method is based on P supervised classification approach which utilizes histogram similarily analysis. The motivntian for choosing histogram similarily analysis is huofold: F i r s t the phase resolved I'D measurement itself is, in fact, a two dimensional histogram. Therefore a histogram matching based approach snits the very nature of the data. Second histogram similarity analysis combines the typical ststistical parameters, such as mean, vrrinnee and higher order moments, used in recognition of PD measurements in a statistically powerful and rigorous way. I n our study, we utilize various histogram types and similarity analysis, including correlation, Chi-square and Kolmogorov Simirnov tests. Our experimental study on the laboratory samples demonstrates that the method shows strong potential in detection and identification of insulation defects. The results from our study suggest that the proposed method provides a powerful, general and mathematically simple approach to the analysis o f phase resolved PD measurements.