Acoustic Emissions from Wind Turbine Blades
نویسندگان
چکیده
منابع مشابه
A Pattern Recognition Approach to Acoustic Emission Data Originating from Fatigue of Wind Turbine Blades
The identification of particular types of damage in wind turbine blades using acoustic emission (AE) techniques is a significant emerging field. In this work, a 45.7-m turbine blade was subjected to flap-wise fatigue loading for 21 days, during which AE was measured by internally mounted piezoelectric sensors. This paper focuses on using unsupervised pattern recognition methods to characterize ...
متن کاملMaterials for Wind Turbine Blades: An Overview
A short overview of composite materials for wind turbine applications is presented here. Requirements toward the wind turbine materials, loads, as well as available materials are reviewed. Apart from the traditional composites for wind turbine blades (glass fibers/epoxy matrix composites), natural composites, hybrid and nanoengineered composites are discussed. Manufacturing technologies for win...
متن کاملComposite Technologies for Large Wind Turbine Blades
As part of the U.S. Department of Energy’s Wind Partnerships for Advanced Component Technologies (WindPACT) program, Global Energy Concepts LLC (GEC) is performing a study concerning innovations in materials, processes and structural configurations for application to wind turbine blades in the multimegawatt range. The project team for this work includes experts in all areas of wind turbine blad...
متن کاملAeroacoustic Noise Measurements of a Wind Turbine with BSDS Blades Using an Acoustic Array
Environmental noise restrictions play a role in the performance of wind turbines and the dominant source of noise on modern turbines is aeroacoustic noise produced by the blades. A 32 sensor acoustic array has been developed in cooperation between the National Renewable Energy Laboratory (NREL) and the University of Colorado to conduct measurements of aeroacoustic noise from a 100 kW wind turbi...
متن کاملAerodynamic Optimal Design of Wind Turbine Blades using Genetic Algorithm
Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an obj...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Aerospace Technology and Management
سال: 2019
ISSN: 2175-9146
DOI: 10.5028/jatm.v11.1071