Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison

Composite Structures

Volumn 135, Issue , 2016, Pages 156-166

  Sierra Pérez, Julián ^a   Torres Arredondo, Miguel Angel ^b   Güemes, Alfredo ^c  

^a UNIVERSIDAD PONTIFICIA BOLIVARIANA   (Colombia)

^b MAN Diesel and Turbo SE Eng 4 Stroke Test and Validation Test Bed Management Measurement ^*  (Germany)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Composite materials; Fiber Optic Sensors; Hierarchical nonlinear principal component analysis; Pattern recognition; Wind turbine blade

Indexed keywords

CARBON; COMPOSITE MATERIALS; DAMAGE DETECTION; FIBER BRAGG GRATINGS; FIBER OPTIC SENSORS; FIBER OPTICS; FIBERS; PATTERN RECOGNITION; POLYVINYL CHLORIDES; PRINCIPAL COMPONENT ANALYSIS; RESIN TRANSFER MOLDING; RESINS; TURBOMACHINE BLADES; VINYL RESINS; WIND TURBINES;

CERTIFICATION TESTING; DISTRIBUTED SENSING; FIBER BRAGG GRATINGS (FBGS); MANUFACTURING PROCESS; MONOCOQUE STRUCTURES; NONLINEAR PRINCIPAL COMPONENT ANALYSIS; PATTERN RECOGNITION TECHNIQUES; WIND TURBINE BLADES;

TURBINE COMPONENTS;

EID: 84943139163     PISSN: 02638223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruct.2015.08.137     Document Type: Article

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