An acousto-ultrasonics pattern recognition approach for damage detection in wind turbine structures
Visualitza/Obre
10.1109/STSIVA.2015.7330419
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/86527
Tipus de documentComunicació de congrés
Data publicació2015
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
The design of a Structural Health Monitoring (SHM) systems
is a requirement in the task of improving the safety and
maintainability of the structures. Among the multiple techniques
available for health monitoring, acousto-ultrasonics
(AU) offers the possibility of inspecting large areas of structures
from a piezoelectric active sensor network with a relatively
small number of sensors. This paper proposes the
use of an active piezoelectric sensor network which uses
PZTs transducers working as sensors or actuators in different
actuation phases to inspect a wind turbine structure to
determine the presence of damages by analysing the data
from the sensors with multivariate statistical methods such
as PCA and damages indices in order to discern damages
from the healthy structure.
CitacióAnaya, M., Tibaduiza, D.A., Forero, E., Castro, R., Pozo, F. An acousto-ultrasonics pattern recognition approach for damage detection in wind turbine structures. A: Symposium on Signal Processing, Images, and Computer Vision. "2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA): 2-4 Sept. 2015, Bogotá, Colombia". Bogotà: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1-5.
ISBN978-1-4673-9461-1
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