Recognition of defects in high voltage cables using statistical tools

Author

Gulski, E. ; Morshuis, P.H.F. ; Janssen, J.

Author_Institution

High Voltage Lab., Delft Univ. of Technol., Netherlands

fYear

1992

fDate

22-25 Jun 1992

Firstpage

139

Lastpage

144

Abstract

The analysis of partial discharges (PD) using conventional discharge detection (bandwidth about 400 kHz) is presented. It was found that the shape of the phase-position distribution contains a large amount of information on the origin and the type of the discharge. These shapes are therefore analyzed, using statistical operators like skewness, kurtosis, and cross-correlation factor. It is known that statistical operators are characteristic for actual discharge sources, and the combination of 15 statistical operators can form the fingerprint of a discharge. To use these fingerprints for the recognition of unknown defects, an algorithm called `recognition rate´ was developed. The algorithm was used to reveal the origin of discharges in high-voltage cable. The results show that the origin of typical discharges in a cable can be traced back in this way

Keywords

cable insulation; high-voltage engineering; partial discharges; power cables; statistical analysis; 400 kHz; HV cables; cross-correlation factor; defects-recognition; high voltage cables; kurtosis; partial discharges; phase-position distribution; skewness; statistical tools; Bandwidth; Cables; Fault location; Fingerprint recognition; Fingers; Partial discharges; Shape; Testing; Trees - insulation; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Conduction and Breakdown in Solid Dielectrics, 1992., Proceedings of the 4th International Conference on

Conference_Location

Sestri Levante

Print_ISBN

0-7803-0129-3

Type

conf

DOI

10.1109/ICSD.1992.224977

Filename

224977