A Classification Approach Using Support Vector Machines to Prevent Distance Relay Maloperation Under Power Swing and Voltage Instability

K. Seethalekshmi; S. N. Singh; S. C. Srivastava

doi:10.1109/tpwrd.2011.2174808

A Classification Approach Using Support Vector Machines to Prevent Distance Relay Maloperation Under Power Swing and Voltage Instability

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2011.2174808 ◽

2012 ◽

Vol 27 (3) ◽

pp. 1124-1133 ◽

Cited By ~ 80

Author(s):

K. Seethalekshmi ◽

S. N. Singh ◽

S. C. Srivastava

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Distance Relay ◽

Classification Approach ◽

Power Swing ◽

Voltage Instability ◽

Vector Machines

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Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2017.05.021 ◽

2017 ◽

Vol 139 ◽

pp. 138-152 ◽

Cited By ~ 5

Author(s):

Ekrem Misimi ◽

Elling Ruud Øye ◽

Øystein Sture ◽

John Reidar Mathiassen

Keyword(s):

Neural Networks ◽

Support Vector Machines ◽

Convolutional Neural Networks ◽

Support Vector ◽

Deep Convolutional Neural Networks ◽

Classification Approach ◽

Robust Classification ◽

Vector Machines

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An Approach Using Support Vector Machines for Distance Relay Coordination in Transmission System

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2008.2002971 ◽

2009 ◽

Vol 24 (1) ◽

pp. 79-88 ◽

Cited By ~ 19

Author(s):

B. Ravikumar ◽

D. Thukaram ◽

H.P. Khincha

Keyword(s):

Support Vector Machines ◽

Transmission System ◽

Support Vector ◽

Distance Relay ◽

Vector Machines ◽

Relay Coordination

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An approach for distance relay co-ordination using support vector machines

TENCON 2008 - 2008 IEEE Region 10 Conference ◽

10.1109/tencon.2008.4766760 ◽

2008 ◽

Cited By ~ 1

Author(s):

B. Ravikumar ◽

D. Thukaram ◽

H. P. Khincha

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Distance Relay ◽

Vector Machines

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CONTEXTUAL IMAGE CLASSIFICATION APPROACH FOR MONITORING OF AGRICULTURAL LAND COVER BY SUPPORT VECTOR MACHINES AND MARKOV RANDOM FIELDS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-1-w3-441-2013 ◽

2013 ◽

Vol XL-1/W3 ◽

pp. 441-446

Author(s):

H. Vahidi ◽

E. Monabbati

Keyword(s):

Support Vector Machines ◽

Land Cover ◽

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Agricultural Land ◽

Support Vector ◽

Classification Approach ◽

Markov Random ◽

Vector Machines

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A Binary Classification Approach Based On Support Vector Machines Via Polyhedral Conic Functions

Celal Bayar Üniversitesi Fen Bilimleri Dergisi ◽

10.18466/cbujos.93628 ◽

2016 ◽

Vol 12 (2) ◽

Author(s):

Nur Uylaş Satı

Keyword(s):

Support Vector Machines ◽

Binary Classification ◽

Support Vector ◽

Classification Approach ◽

Vector Machines

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Automatic folder allocation system using Bayesian-support vector machines hybrid classification approach

Applied Intelligence ◽

10.1007/s10489-010-0261-0 ◽

2010 ◽

Vol 36 (2) ◽

pp. 295-307 ◽

Cited By ~ 13

Author(s):

Lam Hong Lee ◽

Rajprasad Rajkumar ◽

Dino Isa

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Classification Approach ◽

Allocation System ◽

Vector Machines ◽

Hybrid Classification ◽

Bayesian Support

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Oil and gas pipeline failure prediction system using long range ultrasonic transducers and Euclidean-Support Vector Machines classification approach

Expert Systems with Applications ◽

10.1016/j.eswa.2012.10.006 ◽

2013 ◽

Vol 40 (6) ◽

pp. 1925-1934 ◽

Cited By ~ 21

Author(s):

Lam Hong Lee ◽

Rajprasad Rajkumar ◽

Lai Hung Lo ◽

Chin Heng Wan ◽

Dino Isa

Keyword(s):

Support Vector Machines ◽

Long Range ◽

Oil And Gas ◽

Failure Prediction ◽

Ultrasonic Transducers ◽

Support Vector ◽

Prediction System ◽

Classification Approach ◽

Vector Machines ◽

Pipeline Failure

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Prediction of Sand Production from Oil and Gas Reservoirs in the Niger Delta Using Support Vector Machines SVMs: A Binary Classification Approach

10.2118/189118-ms ◽

2017 ◽

Author(s):

Oladipo O. Olatunji ◽

Obolo Micheal

Keyword(s):

Support Vector Machines ◽

Niger Delta ◽

Oil And Gas ◽

Binary Classification ◽

Support Vector ◽

Sand Production ◽

Gas Reservoirs ◽

Classification Approach ◽

Vector Machines ◽

Oil And Gas Reservoirs

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A flexible classification approach with optimal generalisation performance: support vector machines

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/s0169-7439(02)00046-1 ◽

2002 ◽

Vol 64 (1) ◽

pp. 15-25 ◽

Cited By ~ 173

Author(s):

A.I. Belousov ◽

S.A. Verzakov ◽

J. von Frese

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Performance Support ◽

Classification Approach ◽

Vector Machines

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An Efficient Audio Classification Approach Based on Support Vector Machines

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2016.070530 ◽

2016 ◽

Vol 7 (5) ◽

Author(s):

Lhoucine Bahatti ◽

Omar Bouattane ◽

My Elhoussine ◽

Mohamed Hicham

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Audio Classification ◽

Classification Approach ◽

Vector Machines

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