DocumentCode :
1022809
Title :
Automated recognition of partial discharges
Author :
Krivda, A.
Author_Institution :
High Voltage Lab., Delft Univ. of Technol., Netherlands
Volume :
2
Issue :
5
fYear :
1995
fDate :
10/1/1995 12:00:00 AM
Firstpage :
796
Lastpage :
821
Abstract :
An overview of automated recognition of partial discharges (PD) is given. The selection of PD patterns, extraction of relevant information for PD recognition and the structure of a data base for PD recognition are discussed. Mathematical methods useful for the design of the data base are examined. Classification methods are interpreted from a geometrical point of view. Some problems encountered in the automation of PD recognition are addressed
Keywords :
charge measurement; electrical engineering computing; feature extraction; insulation testing; partial discharges; pattern classification; visual databases; PD pattern selection; PD pulse measurement; PD recognition; automated recognition; charge displacement detection; classification methods; cluster analysis; data base structure; feature extraction; fingerprint classification; mathematical methods; overview; partial discharges; Acoustic measurements; Charge measurement; Current measurement; Dielectric measurements; Displacement measurement; Insulation; Partial discharges; Pattern recognition; Surface discharges; Voltage;
fLanguage :
English
Journal_Title :
Dielectrics and Electrical Insulation, IEEE Transactions on
Publisher :
ieee
ISSN :
1070-9878
Type :
jour
DOI :
10.1109/94.469976
Filename :
469976
Link To Document :
بازگشت