Structural Fault Diagnosis of Rotating Machinery Based on Distinctive Frequency Components and Support Vector Machines

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25944-9_44 ◽

2012 ◽

pp. 341-348 ◽

Author(s):

Hongtao Xue ◽

Huaqing Wang ◽

Liuyang Song ◽

Peng Chen

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Rotating Machinery ◽

Support Vector ◽

Vector Machines ◽

Frequency Components

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Fault Diagnosis of Rotating Machinery Using Multi-class Support Vector Machines

Transactions of the Korean Society for Noise and Vibration Engineering ◽

10.5050/ksnvn.2004.14.12.1233 ◽

2004 ◽

Vol 14 (12) ◽

pp. 1233-1240 ◽

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Rotating Machinery ◽

Support Vector ◽

Vector Machines

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Automatic diagnosis method for structural fault of rotating machinery based on distinctive frequency components and support vector machines under varied operating conditions

Neurocomputing ◽

10.1016/j.neucom.2012.02.048 ◽

2013 ◽

Vol 116 ◽

pp. 326-335 ◽

Author(s):

Hongtao Xue ◽

Huaqing Wang ◽

Peng Chen ◽

Ke Li ◽

Liuyang Song

Keyword(s):

Support Vector Machines ◽

Rotating Machinery ◽

Operating Conditions ◽

Support Vector ◽

Automatic Diagnosis ◽

Vector Machines ◽

Frequency Components ◽

Diagnosis Method

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Fault diagnosis of rotating machinery based on multi-class support vector machines

Journal of Mechanical Science and Technology ◽

10.1007/bf02916133 ◽

2005 ◽

Vol 19 (3) ◽

pp. 846-859 ◽

Author(s):

Bo-Suk Yang ◽

Tian Han ◽

Won-Woo Hwang

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Rotating Machinery ◽

Support Vector ◽

Vector Machines

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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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