Comparison of Several Artificial Neural Network Approaches for Fault Classification in Power Transmission Lines

Mapping Intimacies ◽

10.1145/3492547.3492608 ◽

2021 ◽

Author(s):

Sara R. Alsubhi ◽

Kaouther Laabidi ◽

Lobna Hsairi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Lines ◽

Power Transmission ◽

Fault Classification ◽

Power Transmission Lines ◽

Artificial Neural ◽

Network Approaches

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Application of genetic algorithm in artificial neural network for fault classification in parallel transmission lines

IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007) ◽

10.1049/ic:20070644 ◽

2007 ◽

Author(s):

R. Rajeswari ◽

N. Kamaraj

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Transmission Lines ◽

Fault Classification ◽

Parallel Transmission ◽

Artificial Neural

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Artificial Neural Network Based Fault Classification and Location for Transmission Lines

2019 IEEE Conference on Power Electronics and Renewable Energy (CPERE) ◽

10.1109/cpere45374.2019.8980173 ◽

2019 ◽

Author(s):

Ahmed Elnozahy ◽

Khairy Sayed ◽

Mohamed Bahyeldin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Lines ◽

Fault Classification ◽

Artificial Neural

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Artificial neural network approach to fault classification for double circuit transmission lines

2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956) ◽

10.1109/tdc.2004.1432494 ◽

2005 ◽

Author(s):

H. Khorashadi-Zadeh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Lines ◽

Fault Classification ◽

Network Approach ◽

Neural Network Approach ◽

Artificial Neural ◽

Artificial Neural Network Approach

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Artificial neural network approaches for fault classification: comparison and performance

Neural Computing and Applications ◽

10.1007/s00521-014-1677-y ◽

2014 ◽

Vol 25 (7-8) ◽

pp. 1863-1870 ◽

Author(s):

Tapsi Nagpal ◽

Yadwinder Singh Brar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Classification ◽

Artificial Neural ◽

And Performance ◽

Network Approaches

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Transmission Line Fault Classification and Location Using Multi-Layer Perceptron Artificial Neural Network

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon43393.2020.9254653 ◽

2020 ◽

Author(s):

A. K. Onaolapo ◽

R. Pillay Carpanen ◽

D. G. Dorrell ◽

E. E. Ojo

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Line ◽

Fault Classification ◽

Multi Layer Perceptron ◽

Artificial Neural

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Forest Land Cover Classification Using Statistical and Artificial Neural Network Approaches Applied to IRS LISS ‐ III Sensor

Geocarto International ◽

10.1080/10106040108542192 ◽

2001 ◽

Vol 16 (2) ◽

pp. 39-44 ◽

Author(s):

Ramanathan Sugumaran

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Land Cover Classification ◽

Forest Land ◽

Liss Iii ◽

Artificial Neural ◽

Forest Land Cover ◽

Network Approaches

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Bearing fault classification based on wavelet transform and artificial neural network

IETE Journal of Research ◽

10.4103/0377-2063.116081 ◽

2013 ◽

Vol 59 (3) ◽

pp. 219 ◽

Author(s):

AshwaniKumar Chandel ◽

RajKumar Patel

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Wavelet Transform ◽

Fault Classification ◽

Bearing Fault ◽

Artificial Neural

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Design, implementation and testing of an artificial neural network based fault direction discriminator for protecting transmission lines

IEEE Transactions on Power Delivery ◽

10.1109/61.400862 ◽

1995 ◽

Vol 10 (2) ◽

pp. 697-706 ◽

Author(s):

T.S. Sidhu ◽

H. Singh ◽

M.S. Sachdev

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Lines ◽

Artificial Neural

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Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data

International Journal of Remote Sensing ◽

10.1080/014311699211804 ◽

1999 ◽

Vol 20 (14) ◽

pp. 2805-2822 ◽

Author(s):

J. R. JENSEN, FANG QIU, MINHE JI

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Coniferous Forest ◽

Predictive Modelling ◽

Sensor Data ◽

Remote Sensor ◽

Artificial Neural ◽

Network Approaches

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Artificial neural network approach for locating faults in power transmission system

Eurocon 2013 ◽

10.1109/eurocon.2013.6625165 ◽

2013 ◽

Author(s):

Ljupko Teklic ◽

Bozidar Filipovic-Grcic ◽

Ivan Pavicic

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Power Transmission ◽

Transmission System ◽

Network Approach ◽

Neural Network Approach ◽

Power Transmission System ◽

Artificial Neural ◽

Artificial Neural Network Approach

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