Research on Gait Planning for Wind Turbine Blade Climbing Robots Based on Variable-Cell Mechanisms. [PDF]
Lu H, Wang G, Zhang W, Shao M, Shi X.
europepmc +1 more source
CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas +3 more
wiley +1 more source
From Qualitative Localisation to Quantitative Verification: Integrating Active IR Thermography and Laser Scanning in Wind Turbine Blade Inspection. [PDF]
Stawiarski A.
europepmc +1 more source
Optimization and Experimental Investigation of 3D Printed Micro Wind Turbine Blade Made of PLA Material. [PDF]
Arivalagan S +3 more
europepmc +1 more source
Advances, Challenges, and Recommendations for Non-Destructive Testing Technologies for Wind Turbine Blade Damage: A Review of the Literature from the Past Decade. [PDF]
Qin G, Jin Y, Qiao L, Wu Z.
europepmc +1 more source
Recycling of both resin and fibre from wind turbine blade waste via small molecule-assisted dissolution. [PDF]
Muzyka R +4 more
europepmc +1 more source
Multimodal dataset for wind turbine blade monitoring during lightning strikes. [PDF]
Li T +5 more
europepmc +1 more source
Savonius wind turbine blade design and performance evaluation using ANN-based virtual clone: A new approach. [PDF]
Al Noman A +6 more
europepmc +1 more source
Mechanical Behavior and Damage Mode Identification of Wind Turbine Blade GFRP Shear Webs Based on Acoustic Emission Detection Technology. [PDF]
Xu L, Zheng J, Wang W, Li Z, Zou H.
europepmc +1 more source
Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM. [PDF]
Tang M +6 more
europepmc +1 more source

