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
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