Friday, 29. March 2024
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We.2.B - Wind Energy

We.2.B.1 Damage Detection on Wind Turbine Blades via Response-Only and Excitation-Response Vibration Based Statistical Time Series Methods
K. Zoglopitis, S. Nielsen, Aalborg University, Aalborg, Denmark
S.D. Fassois, University of Patras, Greece

We.2.B.2 A Real-time Deflection Monitoring System for Wind Turbine Blades Using a Built-in Laser Displacement Sensor
J.-R. Lee, ChonBuk National University, Jeonju, South Korea
P. Giri, Chonbuk National University, Jeonju, South Korea
H.C. Kim, ChonBuk National University, Jeonju, South Korea

We.2.B.3 Condition Monitoring of a Wind Turbine Gearbox using the Empirical Mode Decomposition Method and Outlier Analysis
I. Antoniadou, University of Sheffield, United Kingdom
T. Barszcz, W.J. Staszewski, AGH University of Science and Technology, Krakow, Poland
N. Dervilis, G. Manson, K. Worden, University of Sheffield, United Kingdom

We.2.B.4 Wind Turbine Blade Fatigue Tests: Lessons Learned and Application to SHM System Development
S. Taylor, Los Alamos National Laboratory, Los Alamos, USA
J. Jang, H. Jeong, ChonBuk National University, Jeonju, South Korea
C.M. Ammerman, K. Farinholt, C. Farrar, G. Park, Los Alamos National Laboratory, Los Alamos, USA
M. Todd, University of California (UCSD), La Jolla, USA

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