Application of time-delay neural and recurrent neural networks for the identification of a hingeless helicopter blade flapping and torsion motions

Journal of the Brazilian Society of Mechanical Sciences and Engineering

Volumn 27, Issue 2, 2005, Pages 97-103

  Marques, F D ^a   De Souza, L De F Rodrigues ^a   Rebolho, D C ^a   Caporali, A S ^a   Belo, E M ^a   Ortolan, R L ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Helicopter blade; Recurrent neural networks; System identification; Time delay neural networks

Indexed keywords

AERODYNAMICS; DEFORMATION; ELASTICITY; HELICOPTERS; IDENTIFICATION (CONTROL SYSTEMS); LOADING; RECURRENT NEURAL NETWORKS; TORSIONAL STRESS; TURBOMACHINE BLADES;

BLADE FLAPPING; DYNAMIC SYSTEMS; HELICOPTER BLADES; TIME DELAY NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 20844451618     PISSN: 16785878     EISSN: None     Source Type: Journal    
DOI: 10.1590/S1678-58782005000200001     Document Type: Article

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