Separation of partial discharges from pulse-shaped noise signals with the help of neural networks

verfasst von

H. Borsi, Ernst Gockenbach, D. Wenzel

Abstract

A method to separate partial discharges (PD) from pulse-shaped noise signals using a neural network is described. The structure of neural networks and their ability for pattern recognition is presented. The adaptive resonance theory (ART) architectures, which are suitable for PD measurement, and the fast simulating algorithm ART 2-A, are explained. It is shown that the ART 2-A network is able to classify pulses in accordance with their origin for the distribution transformer. An examination of the signals measured on a power transformer under high voltage on-site is presented.

Organisationseinheit(en)

Fachgebiet Hochspannungstechnik und Asset Management (Schering-Institut)

Typ

Artikel

Journal

IEE Proceedings: Science, Measurement and Technology

Band

142

Seiten

69-74

Anzahl der Seiten

6

ISSN

1350-2344

Publikationsdatum

01.1995

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Elektrotechnik und Elektronik

Elektronische Version(en)

https://doi.org/10.1049/ip-smt:19951565 (Zugang: Geschlossen)