Enhanced online PD evaluation on power transformers using wavelet techniques and frequency rejection filter for noise suppression

verfasst von

Peter Werle, Asghar Akbari, Hossein Borsi, Ernst Gockenbach

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.

Organisationseinheit(en)

Fachgebiet Hochspannungstechnik und Asset Management (Schering-Institut)

Typ

Konferenzaufsatz in Fachzeitschrift

Journal

Conference Record of IEEE International Symposium on Electrical Insulation

Seiten

195-198

Anzahl der Seiten

4

ISSN

0164-2006

Publikationsdatum

2002

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Elektrotechnik und Elektronik, Bauwesen