Multiple partial discharge source discrimination with multiclass support vector machines
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Guillermo Robles | Emilio Parrado-Hernández | Juan Manuel Martínez-Tarifa | Jorge Ardila-Rey | E. Parrado-Hernández | G. Robles | J. Ardila-Rey | J. Martínez-Tarifa
[1] G. Robles,et al. A Partial Discharges acquisition and statistical analysis software , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.
[2] Huaxiang Wang,et al. Identification of two-phase flow regimes based on support vector machine and electrical capacitance tomography , 2009 .
[3] Gian Carlo Montanari,et al. A new approach to the diagnosis of solid insulation systems based on PD signal inference , 2003 .
[4] J. A. Hunter,et al. Autonomous classification of PD sources within three-phase 11 kV PILC cables , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.
[5] H. O. Mota,et al. Partial discharge signal denoising with spatially adaptive wavelet thresholding and support vector m , 2011 .
[6] Guillermo Robles,et al. Partial discharge pulse shape recognition using an inductive loop sensor , 2010 .
[7] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[8] J. A. Hunter,et al. Discrimination of multiple PD sources using wavelet decomposition and principal component analysis , 2011, IEEE Transactions on Dielectrics and Electrical Insulation.
[9] Cheng-Chien Kuo. Artificial identification system for transformer insulation aging , 2010, Expert Syst. Appl..
[10] Asghar Akbari,et al. A method for discriminating original pulses in online partial discharge measurement , 2011 .
[11] G.C. Stone,et al. Effect of manufacturer, winding age and insulation type on stator winding partial discharge levels , 2004, IEEE Electrical Insulation Magazine.
[12] S. Gopal,et al. Orthogonal least square center selection technique - A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural Network , 2011, Expert Syst. Appl..
[13] L. Hao,et al. Improving detection sensitivity for partial discharge monitoring of high voltage equipment , 2008 .
[14] G. Robles,et al. Partial discharge and noise separation by means of spectral-power clustering techniques , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.
[15] Meng-Hui Wang,et al. A novel extension neural network based partial discharge pattern recognition method for high-voltage power apparatus , 2012, Expert Syst. Appl..
[16] Jian Li,et al. A hybrid algorithm based on s transform and affinity propagation clustering for separation of two simultaneously artificial partial discharge sources , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.
[17] G. Montanari,et al. Evolution of pd patterns in polyethylene insulation cavities under AC voltage , 2012, IEEE Transactions on Dielectrics and Electrical Insulation.
[18] A. Cavallini,et al. Partial discharge diagnostics: from apparatus monitoring to smart grid assessment , 2013, IEEE Electrical Insulation Magazine.
[19] L. Hao,et al. Partial discharge source discrimination using a support vector machine , 2010, IEEE Transactions on Dielectrics and Electrical Insulation.
[20] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[21] Ryan M. Rifkin,et al. In Defense of One-Vs-All Classification , 2004, J. Mach. Learn. Res..
[22] S. Gopal,et al. Robust Heteroscedastic Probabilistic Neural Network for multiple source partial discharge pattern recognition - Significance of outliers on classification capability , 2011, Expert Syst. Appl..
[23] Mohammad Oskuoee,et al. Improving pattern recognition accuracy of partial discharges by new data preprocessing methods , 2015 .
[24] G. Ueta,et al. Partial discharge-induced degradation characteristics of insulating structure constituting oil-immersed power transformers , 2010, IEEE Transactions on Dielectrics and Electrical Insulation.
[25] Hazlee Azil Illias,et al. Partial discharge classifications: Review of recent progress , 2015 .
[26] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .