Fault diagnosis of the train communication network based on weighted support vector machine

[1]  Jian Yang,et al.  A weighted one-class support vector machine , 2016, Neurocomputing.

[2]  Hyong S. Kim,et al.  Fault diagnosis in DSL networks using support vector machines , 2015, Comput. Commun..

[3]  Rong Jiang,et al.  A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault , 2017, J. Intell. Manuf..

[4]  Yu Liu,et al.  Information entropy based sample reduction for support vector data description , 2018, Appl. Soft Comput..

[5]  Ridha Ziani,et al.  Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher’s criterion , 2017, J. Intell. Manuf..

[6]  Andrés Bustillo,et al.  An SVM-Based Solution for Fault Detection in Wind Turbines , 2015, Sensors.

[7]  Sungzoon Cho,et al.  Neighborhood PropertyBased Pattern Selection for Support Vector Machines , 2007, Neural Computation.

[8]  Hongyuan Zha,et al.  Entropy-based fuzzy support vector machine for imbalanced datasets , 2017, Knowl. Based Syst..

[9]  Hui Song,et al.  Health Evaluation of MVB Based on SVDD and Sample Reduction , 2019, IEEE Access.

[10]  Lide Wang,et al.  Anomaly Detection for Controller Area Network in Braking Control System With Dynamic Ensemble Selection , 2019, IEEE Access.

[11]  Yuhua Li,et al.  Selecting training points for one-class support vector machines , 2011, Pattern Recognit. Lett..

[12]  Edward Y. Chang,et al.  Concept boundary detection for speeding up SVMs , 2006, ICML '06.

[13]  Yue Wang,et al.  Weighted support vector machine for data classification , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[14]  Jian Yang,et al.  Neighbors' distribution property and sample reduction for support vector machines , 2014, Appl. Soft Comput..

[15]  Xin Chen,et al.  Large-scale support vector machine classification with redundant data reduction , 2016, Neurocomputing.

[16]  Stephan Biller,et al.  DeviceNet network health monitoring using physical layer parameters , 2011, J. Intell. Manuf..

[17]  Chong Zhou,et al.  Rotor Fault Diagnosis Based on Characteristic Frequency Band Energy Entropy and Support Vector Machine , 2018, Entropy.

[18]  Rohini K. Srihari,et al.  Incorporating prior knowledge with weighted margin support vector machines , 2004, KDD.

[19]  Ning Ye,et al.  Boundary detection and sample reduction for one-class Support Vector Machines , 2014, Neurocomputing.

[20]  Liming Liu,et al.  Multi-class classification method using twin support vector machines with multi-information for steel surface defects , 2018 .

[21]  Gianluca Reali,et al.  Fault localization in data networks , 2009, IEEE Communications Letters.