Using support vector machines and acoustic noise signal for degradation analysis of rotating machinery

Artificial Intelligence Review ◽

10.1007/s10462-008-9081-6 ◽

2007 ◽

Vol 28 (1) ◽

pp. 1-15 ◽

Author(s):

Patricia Scanlon ◽

Susan Bergin

Keyword(s):

Support Vector Machines ◽

Acoustic Noise ◽

Noise Signal ◽

Rotating Machinery ◽

Support Vector ◽

Degradation Analysis ◽

Vector Machines

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Fault Classification for Rotating Machinery Using Support Vector Machines with Optimal Features Corresponding to Each Fault Type

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2010.34.11.1681 ◽

2010 ◽

Vol 34 (11) ◽

pp. 1681-1689 ◽

Author(s):

Yang-Seok Kim ◽

Do-Hwan Lee ◽

Seong-Kook Kim

Keyword(s):

Support Vector Machines ◽

Rotating Machinery ◽

Fault Classification ◽

Support Vector ◽

Vector Machines

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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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Sequential Diagnosis Method for Rotating Machinery Using Support Vector Machines and Possibility Theory

Intelligent Computing Theories - Lecture Notes in Computer Science ◽

10.1007/978-3-642-39479-9_37 ◽

2013 ◽

pp. 315-324 ◽

Author(s):

Hongtao Xue ◽

Ke Li ◽

Huaqing Wang ◽

Peng Chen

Keyword(s):

Support Vector Machines ◽

Possibility Theory ◽

Rotating Machinery ◽

Support Vector ◽

Vector Machines ◽

Diagnosis Method ◽

Sequential Diagnosis

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Condition Diagnosis for Rotating Machinery Using Support Vector Machines and Symptom Parameters in Frequency Domain

2011 Fourth International Conference on Intelligent Computation Technology and Automation ◽

10.1109/icicta.2011.26 ◽

2011 ◽

Author(s):

Hongtao Xue ◽

Peng Chen

Keyword(s):

Support Vector Machines ◽

Frequency Domain ◽

Rotating Machinery ◽

Support Vector ◽

Vector Machines ◽

Condition Diagnosis

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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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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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Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i12.10964 ◽

2016 ◽

Vol 11 (12) ◽

pp. 1147

Author(s):

Abderrahmane Bendahmane ◽

Abdelkader Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Term Weighting ◽

Web Documents ◽

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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Combining Market and Accounting-Based Models for Credit Scoring Using a Classification Scheme Based on Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.2156220 ◽

2012 ◽

Author(s):

Dimitrios Niklis ◽

Michael Doumpos ◽

C. Zopounidis

Keyword(s):

Support Vector Machines ◽

Classification Scheme ◽

Credit Scoring ◽

Support Vector ◽

Vector Machines

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