Fault detection and isolation in wind turbines using support vector machines and observers

Nida Sheibat‐Othman; Sami Othman; Mohamed Abdelmoula Benlahrache; Peter Fogh Odgaard

doi:10.1109/acc.2013.6580527

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Fault detection and isolation in wind turbines using support vector machines and observers

Nida Sheibat‐Othman Sami Othman Mohamed Abdelmoula Benlahrache Peter Fogh Odgaard

Year: 2013 Pages: 4459-4464

DOI: 10.1109/acc.2013.6580527

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Abstract

International audience

Keywords:

Fault detection and isolation Support vector machine Wind power Turbine Observer (physics) Computer science Kalman filter Isolation (microbiology) Benchmark (surveying) Fault (geology) Control theory (sociology) Control engineering Engineering Artificial intelligence Geology Control (management) Actuator Aerospace engineering

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4.88

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

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

Fault detection and isolation in wind turbines using support vector machines and observers

Abstract

Metrics

Citation History

Topics

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