An SVM-based solution for fault detection in wind turbines

Sensors (Switzerland)

Volumn 15, Issue 3, 2015, Pages 5627-5648

  Santos, Pedro ^a   Villa, Luisa F ^b   Reñones, Aníbal ^b   Bustillo, Andres ^a   Maudes, Jesús ^a  

^a UNIVERSITY OF BURGOS   (Spain)

^b Centro de Automatizacion Robotica y Tecnologias de La Informacion y de La Fabricacion   (Spain)

Author keywords

Fault diagnosis; Neural networks; Support vector machines; Wind turbines

Indexed keywords

ACCELEROMETERS; COMPUTER AIDED DIAGNOSIS; DATA ACQUISITION; DATA MINING; EQUIPMENT TESTING; FAILURE ANALYSIS; INDUSTRIAL RESEARCH; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; WIND TURBINES;

ANGULAR RESAMPLING; CLASSIFICATION TASKS; LINEARLY SEPARABLE; MECHANICAL FAULTS; MECHANICAL TRANSMISSION; OPERATIONAL STATE; SPEED MEASUREMENT; SUPPORT VECTOR MACHINE (SVMS);

FAULT DETECTION;

EID: 84928681088     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s150305627     Document Type: Article

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