Development and implementation of an ANN-based fault diagnosis scheme for generator winding protection

Author

Darwish, Hatem A. ; Taalab, Abdel-Maxoud I. ; Kawady, Tamer A.

Author_Institution

Fac. of Eng., Menoufia Univ., Egypt

Volume

16

Issue

2

fYear

2001

fDate

4/1/2001 12:00:00 AM

Firstpage

208

Lastpage

214

Abstract

In this paper, the development and implementation of a new fault diagnosis scheme for generator winding protection using artificial neural networks (ANN) is introduced. The proposed scheme performs internal fault detection, fault type classifications and faulted phases identification. This scheme is characterized with higher sensitivity and stability boundaries as compared with the differential relay. Effect of the presence of nonsynchronous frequencies on the scheme performance is examined. Effect of different values of ground resistance on ground fault detection sensitivity is outlined. The scheme hardware is implemented based on a digital signal processing (DSP) board interfaced with a multi input/output (MIO) board. Test results of the proposed scheme corroborate the scheme stability and sensitivity

Keywords

computerised instrumentation; failure analysis; fault diagnosis; machine protection; machine testing; machine theory; machine windings; neural nets; power engineering computing; synchronous generators; ANN-based fault diagnosis scheme; artificial neural networks; differential relay; digital signal processing; fault type classifications; faulted phases identification; generator winding protection; ground fault detection sensitivity; ground resistance; internal fault detection; multi input/output board; Artificial neural networks; Digital relays; Digital signal processing; Fault detection; Fault diagnosis; Frequency; Hardware; Protection; Protective relaying; Stability;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.915484

Filename

915484