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

authored by

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.

Organisation(s)

High Voltage Engineering and Asset Management Section (Schering Institute)

Type

Conference article

Journal

Conference Record of IEEE International Symposium on Electrical Insulation

Pages

195-198

No. of pages

4

ISSN

0164-2006

Publication date

2002

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering, Building and Construction