Title :
Discharge pattern recognition in high voltage equipment
Author_Institution :
Fac. of Electr. Eng., Delft Univ. of Technol., Netherlands
fDate :
1/1/1995 12:00:00 AM
Abstract :
The paper considers the diagnosis of HV constructions which suffer from partial discharge (PD). Using previously developed statistical techniques the properties of discharge patterns are quantified in a fingerprint. Through the analysis of different defects and their fingerprints in HV constructions, the practical implication of these techniques is discussed. Furthermore, different possibilities of developing a data bank for the recognition and diagnosis in HV components are shown
Keywords :
discharges (electric); fault diagnosis; high-voltage engineering; partial discharges; pattern recognition; power engineering computing; statistical analysis; surface discharges; HV components; HV construction; analysis; data bank; diagnosis; discharge pattern recognition; discharge patterns; fingerprint; high voltage equipment; partial discharge; recognition; statistical techniques;
Journal_Title :
Science, Measurement and Technology, IEE Proceedings -
DOI :
10.1049/ip-smt:19951632