Results 281 to 290 of about 1,201,196 (338)

Life Cycle Analysis of Coaxial Layered Fiber Spinning for Wind Turbine Blade Recycling. [PDF]

ACS Sustain Resour Manag
Sobczak MT, Li G, Ramanathan A, Thummalapalli SV, Thippanna V, Chambers LB, Theobald T, Sun H, Nolet S, Li K, Song K.   +10 more
europepmc   +1 more source

Molecular Adhesion Between Asphalt and Glass Fiber-Reinforced Composites from Recycled Wind Turbine Blades in Dry and Hydrated Conditions. [PDF]

Materials (Basel)
Feng J, Wang S, He F, Wu C, Wang Z, Du F, Huston D, Dewoolkar M, Tan T.   +8 more
europepmc   +1 more source

The sound amplifying forest, with emphasis on sounds from wind turbines

, 2010
Elis Johansson
openalex   +1 more source

The Boeing MOD-2 wind turbine system rotor

, 1979
G. N. Davison
openalex   +1 more source

Prediction of the hub vortex instability within wind turbine wakes and effects of the incoming wind and turbine aerodynamic characteristics

, 2014
Giacomo Valerio Iungo, Francesco Viola, Simone Camarri, Fernando Porté‐Agel, François Gallaire   +4 more
openalex   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis

IEEE Transactions on Sustainable Energy, 2021
Utility-scale wind turbines are equipped with a supervisory control and data acquisition (SCADA) system for remote supervision and control. The SCADA system accumulates a large amount of data that contains the health conditions of the wind turbines. Thus,
Xiaohang Jin, Zhuangwei Xu, W. Qiao
semanticscholar   +1 more source

Wind Turbine Gearbox Anomaly Detection Based on Adaptive Threshold and Twin Support Vector Machines

IEEE transactions on energy conversion, 2021
Data-driven condition monitoring reduces downtime of wind turbines and increases reliability. Wind turbine operation and maintenance (O&M) cost is a significant factor that calls for automated fault detection systems in wind turbines. In this manuscript,
H. Dhiman, D. Deb, S. M. Muyeen, I. Kamwa   +3 more
semanticscholar   +1 more source

Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks

IEEE Transactions on Instrumentation and Measurement, 2021
The fault diagnosis of the gearbox of wind turbines is a crucial task for wind turbine operation and maintenance. Although a convolutional neural network can extract the related information of adjacent sampling points using kernels, traditional deep ...
Xiaoxia Yu, B. Tang, Kai Zhang
semanticscholar   +1 more source