TY - JOUR
AU - Bond, Leonard J.
AB - Damage to wind turbine blades can, if left uncorrected, evolve into catastrophic failures resulting in high costs andsignificant losses for the operator. Detection of damage, especially in real time, has the potential to mitigate the lossesassociated with such catastrophic failure. To address this need various forms of online monitoring are being investigated,including acoustic emission detection. In this paper, pencil lead breaks are used as a standard reference source and testsare performed on unidirectional glass-fiber-reinforced-polymer plates. The mechanical pencil break is used to simulate anacoustic emission (AE) that generates elastic waves in the plate. Piezoelectric sensors and a data acquisition system areused to detect and record the signals. The expected dispersion curves generated for Lamb waves in plates are calculated,and the Gabor wavelet transform is used to provide dispersion curves based on experimental data. AE sources using analuminum plate are used as a reference case for the experimental system and data processing validation. The analysis ofthe composite material provides information concerning the wave speed, modes, and attenuation of the waveform, whichcan be used to estimate maximum AE event – receiver separation, in a particular geometry and materials combination. Thefoundational data provided in this paper help to guide improvements in online structural health monitoring of wind turbineblades using acoustic emission.
TI - Acoustic emission monitoring of wind turbine blades
JF - Proceedings of SPIE
DO - 10.1117/12.2084527
DA - 2015-03-27
UR - https://www.deepdyve.com/lp/spie/acoustic-emission-monitoring-of-wind-turbine-blades-GyoEf06ESs
SP - 94390C
EP - 94390C-15
VL - 9439
IS - 
DP - DeepDyve
ER -