Measuring system based on modern signal processing methods for partial discharge recognition and localization on-site

authored by

D. Wenzel, H. Borsi, Ernst Gockenbach

Abstract

The paper describes a modular structured measuring system for Partial Discharge (PD) recognition and localization on-site. The appearing noises are suppressed digitally with different filter algorithms each being best adapted to the respective noise signals. The suppression of sinusoidal continuous noises is realized by means of digital filters, whereas synchronous pulse shaped noises are eliminated by using adaptive correlation algorithms. A separation of the PD from noise pulses with stochastical appearance is performed with pattern recognition algorithms. Investigations of pulses measured exemplarily on transformers show, that the simultaneous employment of several algorithms leads to an increasing of the reliability of the evaluation. Also, a monitoring operation without any a priori knowledge about appearing signal shapes becomes possible. Besides the noise suppression, the same pattern recognition algorithms with changed parameters make a contribution to a localization of PD faults.

Organisation(s)

High Voltage Engineering and Asset Management Section (Schering Institute)

Type

Conference article

Journal

Conference Record of IEEE International Symposium on Electrical Insulation

Volume

1

Pages

20-23

No. of pages

4

ISSN

0164-2006

Publication date

1998

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering, Building and Construction