Support Vector Machines for Fault Detection in Wind Turbines

Nassim Laouti; Nida Sheibat‐Othman; Sami Othman

doi:10.3182/20110828-6-it-1002.02560

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JOURNAL ARTICLE

Support Vector Machines for Fault Detection in Wind Turbines

Nassim Laouti Nida Sheibat‐Othman Sami Othman

Year: 2011 Journal: IFAC Proceedings Volumes Vol: 44 (1)Pages: 7067-7072 Publisher: Elsevier BV

DOI: 10.3182/20110828-6-it-1002.02560

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Keywords:

Offset (computer science) Fault detection and isolation Control theory (sociology) Actuator Support vector machine Engineering Turbine Wind power Fault (geology) Computer science Artificial intelligence Mechanical engineering

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180

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26.38

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1.00

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Structural Health Monitoring Techniques

Physical Sciences → Engineering → Civil and Structural Engineering

Support Vector Machines for Fault Detection in Wind Turbines

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Citation History

Topics

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