Analysis of Phase Resolved Partial Discharge Patterns using Statistical Techniques
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 120

India | Electrical Engineering | Volume 5 Issue 8, August 2016 | Pages: 743 - 749


Analysis of Phase Resolved Partial Discharge Patterns using Statistical Techniques

Kajol Kothoke

Abstract: Partial discharges (PDs) in high-voltage (HV) insulating systems originate from various local defects, which further results in degradation of insulation and reduction in life span of equipment. One of the most widely used representations is phase-resolved PD (PRPD) patterns. For reliable operation of HV equipment, it is important to observe statistical characteristics of PDs and identify the properties of defect to ultimately determine the type of the defect. In this work, we have obtained and analysed combined use of PRPD patterns (-q), (-n) and (n-q) using statistical parameters such as skewness and kurtosis for (-q) and (-n), and mean, standard deviation, variance, skewness and kurtosis for (n-q).

Keywords: Kurtosis, Partial Discharge, Phase- Resolved, Skewness and Statistical Techniques



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