Fault Diagnosis of Lead-Zinc Smelting Furnace based on Multi-Class Support Vector Machines

2007 IEEE International Conference on Control and Automation ◽

10.1109/icca.2007.4376639 ◽

2007 ◽

Author(s):

Shaohua Jiang ◽

Weihua Gui ◽

Chunhua Yang ◽

Yongfang Xie

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Support Vector ◽

Smelting Furnace ◽

Vector Machines ◽

Zinc Smelting ◽

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Method based on principal component analysis and support vector machine and its application to process monitoring and fault diagnosis for lead-zinc smelting furnace

10.1109/chicc.2008.4605397 ◽

2008 ◽

Author(s):

Jiang Shaohua ◽

Gui Weihua ◽

Yang Chunhua ◽

Tang Zhaohui ◽

Jiang Zhaohui

Keyword(s):

Principal Component Analysis ◽

Support Vector Machine ◽

Fault Diagnosis ◽

Process Monitoring ◽

Principal Component ◽

Component Analysis ◽

Support Vector ◽

Smelting Furnace ◽

Zinc Smelting ◽

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Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00236 ◽

2010 ◽

Vol 30 (1) ◽

pp. 236-239 ◽

Author(s):

Liang XU

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Chemical Process ◽

Least Square ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

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Fault Diagnosis of Regenerative Water Heater Based-On Multi-class Support Vector Machines

2009 Fifth International Conference on Natural Computation ◽

10.1109/icnc.2009.431 ◽

2009 ◽

Author(s):

Lei Wang ◽

Rui-qing Zhang

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Support Vector ◽

Water Heater ◽

Vector Machines

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Fault Diagnosis in Railway Track Circuits Using Support Vector Machines

2013 12th International Conference on Machine Learning and Applications ◽

10.1109/icmla.2013.146 ◽

2013 ◽

Author(s):

Shangpeng Sun ◽

Huibing Zhao

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Railway Track ◽

Support Vector ◽

Vector Machines ◽

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Fault diagnosis based on Fisher discriminant analysis and support vector machines

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2003.10.002 ◽

2004 ◽

Vol 28 (8) ◽

pp. 1389-1401 ◽

Author(s):

Leo H. Chiang ◽

Mark E. Kotanchek ◽

Arthur K. Kordon

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Discriminant Analysis ◽

Support Vector ◽

Fisher Discriminant Analysis ◽

Fisher Discriminant ◽

Vector Machines

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Hierarchical Radial Basis Function Based Multiclass Support Vector Machines and a Hybrid Feature Pool for Bearings Fault Diagnosis

2018 International Conference on Electrical Engineering (ICEE) ◽

10.1109/icee.2018.8566908 ◽

2018 ◽

Author(s):

Muhammad Sohaib ◽

Jong-Myon Kim

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Radial Basis Function ◽

Basis Function ◽

Support Vector ◽

Vector Machines ◽

Radial Basis ◽

Multiclass Support Vector Machines

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Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis

IEEE Transactions on Power Electronics ◽

10.1109/tpel.2014.2358494 ◽

2015 ◽

Vol 30 (5) ◽

pp. 2786-2797 ◽

Author(s):

Myeongsu Kang ◽

Jaeyoung Kim ◽

Jong-Myon Kim ◽

Andy C. C. Tan ◽

Eric Y. Kim ◽

...

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Feature Analysis ◽

Support Vector ◽

Low Speed ◽

Discriminative Feature ◽

Vector Machines

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Gear Fault Diagnosis Based on Angular Measurements and Support Vector Machines in Normal and Nonstationary Conditions

Applied Condition Monitoring - Advances in Condition Monitoring of Machinery in Non-Stationary Operations ◽

10.1007/978-3-319-20463-5_22 ◽

2015 ◽

pp. 291-308 ◽

Author(s):

Semchedine Fedala ◽

Didier Rémond ◽

Rabah Zegadi ◽

Ahmed Felkaoui

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

Angular Measurements ◽

Gear Fault Diagnosis ◽

Nonstationary Conditions

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Fault Diagnosis for Embedded Bearing based on Multiclass Least Squares Support Vector Machines

Journal of Convergence Information Technology ◽

10.4156/jcit.vol8.issue6.9 ◽

2013 ◽

Vol 8 (6) ◽

pp. 74-80

Author(s):

Huang Ji

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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Online batch fault diagnosis with Least Squares Support Vector Machines*

IFAC Proceedings Volumes ◽

10.3182/20120829-3-mx-2028.00118 ◽

2012 ◽

Vol 45 (20) ◽

pp. 432-437 ◽

Author(s):

P. Van den Kerkhof ◽

J. Vanlaer ◽

G. Gins ◽

J.F.M. Van Impe

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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