NDLI: On-line fault diagnosis of power systems by a new expert system

Content Provider	IEEE Xplore Digital Library
Author	Amjady, N.
Copyright Year	1998
Description	Author affiliation: Semnan Univ., Iran (Amjady, N.)
Abstract	This paper proposes a new neural networks diagnostic system for on-line fault diagnosis of power systems using information of relays and circuit breakers. This system has a similar profile to an expert system, but can be constructed much more easily from a few sets of training samples. These samples are used for training of subnets of three neural network modules. The diagnostic system can be applicable to the power system control center for single or multiple faults. Even in the cases of failure operation of relay and breaker, or error-existent data transmission. This system can detect, classify and locate faults. The proposed approach has been practically examined on a model power system with real events. Obtained results confirm the validity of the developed approach.
Starting Page	731
Ending Page	733
File Size	425170
Page Count	3
File Format	PDF
ISBN	078034314X
ISSN	08407789
DOI	10.1109/CCECE.1998.685601
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Power system faults Diagnostic expert systems Power system relaying Neural networks Circuit faults Power system modeling Circuit breakers Power system control Data communication
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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