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Title: Inspection and Monitoring of Wind Turbine Blade-Embedded Wave Defects During Fatigue Testing

Journal Article · · Structural Health Monitoring
; ; ; ; ; ; ; ; ; ; ; ; ;

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy Wind Power Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1166668
Journal Information:
Structural Health Monitoring, Vol. 13; ISSN 1475-9217
Publisher:
SAGE Publications
Country of Publication:
United States
Language:
English

References (6)

High-spatial-resolution distributed strain measurement in optical fiber with Rayleigh scatter journal January 1998
Measurement of localized heating in fiber optic components with millimeter spatial resolution conference January 2006
High Resolution Distributed Strain or Temperature Measurements in Single- and Multi-Mode Fiber Using Swept-Wavelength Interferometry conference January 2006
Fatigue Testing of 9 m Carbon Fiber Wind Turbine Research Blades conference June 2012
Structural Testing of 9m Carbon Fiber Wind Turbine Research Blades conference June 2012
The application of non-destructive techniques to the testing of a wind turbine blade report June 1994

Cited By (8)

Measurement of quality test of aerodynamic profiles in wind turbine blades using laser triangulation technique
  • Moreno‐Oliva, Víctor Iván; Román‐Hernández, Edwin; Torres‐Moreno, Eduardo
  • Energy Science & Engineering, Vol. 7, Issue 5 https://doi.org/10.1002/ese3.423
journal June 2019
Comparison of nondestructive testing techniques for the inspection of wind turbine blades' spar caps journal May 2018
Prospective challenges in the experimentation of the rain erosion on the leading edge of wind turbine blades journal September 2018
Wind Turbine Blade Damage Detection Using Supervised Machine Learning Algorithms journal August 2017
Vertical Axis Wind Turbine Aerodynamics: Summary and Review of Momentum Models journal February 2019
Active acoustic damage detection of structural cavities using internal acoustic excitations journal March 2019
Passive acoustic damage detection of structural cavities using flow-induced acoustic excitations journal July 2019
Damage mode identification of composite wind turbine blade under accelerated fatigue loads using acoustic emission and machine learning journal September 2019

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Related Subjects

17 WIND ENERGY
Wind Energy