Abstract
A novel application of neural network approach to protection of transmission line is demonstrated in this paper. Different system faults on a protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of neural networks as a protective relaying pattern classifier algorithm. The proposed method uses current signals to learn the hidden relationship in the input patterns. Using the proposed approach, fault detection, classification and faulted phase selection could be achieved withi ....etc

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transmission line fault detection using microcontroller

INTRODUCTION

A fault in electrical equipment is defined as a defect in its electrical circuit due to which the current is diverted from the intended path. Faults are generally caused by mechanical failure, accidents, excessive internal and external stresses etc. The fault impedance being low, the fault currents are relatively high. During the faults, the power flow is diverted towards the fault and the supply to the neighboring zone is affected. Voltages become unbalanced. It is necessa ....etc

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DHANA VIDYA.K
B.E(EE)-FINAL YEAR
NEED OF DETAILD PROJECT REPORT OF THIS PAPER ....etc

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Power System Fault Analysis using Fault Reporting Data

INTRODUCTION

Any abnormal conditions which causes flow of huge current in the conductors or cable through inappropriate paths in the circuit can be defined as a fault. In normal operating conditions all the circuit elements of an electrical system carry currents whose magnitude depends upon the value of the generator voltage and the effective impedances of all the power transmission and distribution system elements including the impedances of t ....etc

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transmission line fault detection using wavelet transform matlab simulation

This paper proposes fault detection and classification scheme for transmission line protection using WT and linear discriminant analysis (LDA). Current signals of each phase are used for the detection and identification of faulty phases and zero sequence currents are used for the detection of ground. Current signals are processed using discrete wavelet transform with DB-4 wavelet up to level 3. Approximate coefficients are reconstructed using wavelet reconstruction. Pe ....etc

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Transmission Line Fault Detection Using ANN

Introduction
What is ANN?
An artificial neural network(ANN) is an information processing paradigm that is inspired by the way

biological nervous system such as brain process information

Artificial Neural network are powerful in pattern recognition and classification

Salient Feature Of ANN

Fault Type Classifiers

Power Network Simulation
A 230Kv Power system is simulated by using EMTDC electromagnetic transient
program
The proposed Neural Network
Netw ....etc

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