Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 195-198 |
| Seitenumfang | 4 |
| Fachzeitschrift | Conference Record of IEEE International Symposium on Electrical Insulation |
| Publikationsstatus | Veröffentlicht - 2002 |
| Veranstaltung | 2002 IEEE International Symposium on Electrical Insulation - Boston, MA, USA / Vereinigte Staaten Dauer: 7 Apr. 2002 → 10 Apr. 2002 |
Abstract
In this contribution different digital filtering algorithms, which use new approaches like the wavelet transform as well as a new introduced adaptive frequency rejection filter in the frequency domain, are investigated concerning their ability to suppress different kinds of noises as they appear during online partial discharge (PD) measurements on power transformers. Therefore various investigations on measured PD signals in the laboratory superimposed by synthetically generated noises have been performed leading to recommendations how different noise types can be efficiently suppressed.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Bauwesen
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in: Conference Record of IEEE International Symposium on Electrical Insulation, 2002, S. 195-198.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Enhanced online PD evaluation on power transformers using wavelet techniques and frequency rejection filter for noise suppression
AU - Werle, Peter
AU - Akbari, Asghar
AU - Borsi, Hossein
AU - Gockenbach, Ernst
N1 - Copyright: Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.
PY - 2002
Y1 - 2002
N2 - In this contribution different digital filtering algorithms, which use new approaches like the wavelet transform as well as a new introduced adaptive frequency rejection filter in the frequency domain, are investigated concerning their ability to suppress different kinds of noises as they appear during online partial discharge (PD) measurements on power transformers. Therefore various investigations on measured PD signals in the laboratory superimposed by synthetically generated noises have been performed leading to recommendations how different noise types can be efficiently suppressed.
AB - In this contribution different digital filtering algorithms, which use new approaches like the wavelet transform as well as a new introduced adaptive frequency rejection filter in the frequency domain, are investigated concerning their ability to suppress different kinds of noises as they appear during online partial discharge (PD) measurements on power transformers. Therefore various investigations on measured PD signals in the laboratory superimposed by synthetically generated noises have been performed leading to recommendations how different noise types can be efficiently suppressed.
UR - http://www.scopus.com/inward/record.url?scp=0036072752&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0036072752
SP - 195
EP - 198
JO - Conference Record of IEEE International Symposium on Electrical Insulation
JF - Conference Record of IEEE International Symposium on Electrical Insulation
SN - 0164-2006
T2 - 2002 IEEE International Symposium on Electrical Insulation
Y2 - 7 April 2002 through 10 April 2002
ER -