DocumentCode :
3243320
Title :
Classification of partial discharges for DC equipment
Author :
Hoogenraad, G. ; Morshuis, P.H.F. ; Petrarca, C.
Author_Institution :
High Voltage Lab., Delft Univ. of Technol., Netherlands
Volume :
1
fYear :
1996
fDate :
20-23 Oct 1996
Firstpage :
110
Abstract :
Computer aided partial discharge detection, recognition and classification at AC voltage has become common practice in recent years. Characteristic discharge phase distributions have been found, thus providing the possibility to recognise and assess possible defects in HV apparatus. For diagnostic purposes, fingerprints from these distributions can be derived and compared to those previously ascertained and stored in a data-bank. For DC voltage a similar technique can be used when the phase angle is replaced by the time between discharges. Successful results have been obtained by employing this method on several artificial defects
Keywords :
HVDC power transmission; charge measurement; corona; electrical engineering computing; fault location; partial discharges; pattern classification; DC equipment; artificial defects; computer aided partial discharge detection; corona; dielectric bound cavity; discharge phase distributions; fingerprints; partial discharge classification; partial discharge recognition; time between discharges; Character recognition; Corona; Fingerprint recognition; Histograms; Laboratories; Object detection; Partial discharges; Statistical distributions; Testing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 1996., IEEE 1996 Annual Report of the Conference on
Conference_Location :
Millbrae, CA
Print_ISBN :
0-7803-3580-5
Type :
conf
DOI :
10.1109/CEIDP.1996.564608
Filename :
564608
Link To Document :
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