Noise suppression and data reduction for partial discharge measurements using orthogonal transformations

authored by

D. Wenzel, H. Borsi, Ernst Gockenbach

Abstract

Partial discharge measurement at power transformers are often superposed with by disturbances and beset with problems caused by processing of huge amount of data. To reduce noise and data an effective method using orthogonal transformations was employed. On synthetically generated signals, choice of a suitable orthogonal transformation concentrates the signal energy in a small area of the observed spectrum. One of the methods used for noise reduction limits the disturbances by a transformation to a few spectral component. Another method limits the PD parts of the measured signal to a few spectral components and gives the user the possibility of effective data reduction. Discrete cosine transformation and discrete Hartley transformation are presented and compared with the DFT and FFT.

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

292-295

No. of pages

4

ISSN

0164-2006

Publication date

1994

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering, Building and Construction