Experimental study of thin film sensor networks for wind turbine blade damage detection

Mapping Intimacies ◽

10.1063/1.4974617 ◽

2017 ◽

Cited By ~ 2

Author(s):

A. Downey ◽

S. Laflamme ◽

F. Ubertini ◽

H. Sauder ◽

P. Sarkar

Keyword(s):

Thin Film ◽

Experimental Study ◽

Sensor Networks ◽

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Film Sensor ◽

Thin Film Sensor

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Experimental damage detection of wind turbine blade using thin film sensor array

10.1117/12.2261531 ◽

2017 ◽

Cited By ~ 1

Author(s):

Austin Downey ◽

Simon Laflamme ◽

Filippo Ubertini ◽

Partha Sarkar

Keyword(s):

Thin Film ◽

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Sensor Array ◽

Wind Turbine Blade ◽

Film Sensor ◽

Thin Film Sensor

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Experimental study of ice accretion on S826 & S832 wind turbine blade profiles

Cold Regions Science and Technology ◽

10.1016/j.coldregions.2019.102913 ◽

2020 ◽

Vol 169 ◽

pp. 102913

Author(s):

Jia Yi Jin ◽

Muhammad Shakeel Virk

Keyword(s):

Experimental Study ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Ice Accretion

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Experimental study on static characteristics of wind turbine blade with digital image correlation method

Journal of Applied Optics ◽

10.5768/jao201536.0505004 ◽

2015 ◽

Vol 36 (5) ◽

pp. 811-817

Author(s):

Wang Xiao-ping ◽

Hu Xue-bing ◽

Zhou Hua-fei ◽

Qin Liang-zhong ◽

Zhu Pei-dong ◽

...

Keyword(s):

Experimental Study ◽

Digital Image Correlation ◽

Wind Turbine ◽

Turbine Blade ◽

Digital Image ◽

Correlation Method ◽

Wind Turbine Blade ◽

Image Correlation ◽

Static Characteristics ◽

Digital Image Correlation Method

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Research on fatigue damage detection for wind turbine blade based on high-spatial-resolution DPP-BOTDA

10.1117/12.2044840 ◽

2014 ◽

Author(s):

Jinlong Xu ◽

Yongkang Dong ◽

Hui Li

Keyword(s):

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Fatigue Damage ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Wind Turbine Blade

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Damage detection in an operating Vestas V27 wind turbine blade by use of outlier analysis

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings ◽

10.1109/eesms.2015.7175851 ◽

2015 ◽

Cited By ~ 6

Author(s):

Martin D. Ulriksen ◽

Dmitri Tcherniak ◽

Lars Damkilde

Keyword(s):

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Outlier Analysis

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A Review on Experimental Study of Wind Turbine Blade Lightning Protection System

2019 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) ◽

10.1109/icpics47731.2019.8942452 ◽

2019 ◽

Cited By ~ 1

Author(s):

Waqas Arif ◽

Qingmin Li ◽

Wanshui Yu ◽

Zixin Guo ◽

Hongbo Li

Keyword(s):

Experimental Study ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Protection System ◽

Lightning Protection

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Sequential projection pursuit for optimised vibration-based damage detection in an experimental wind turbine blade

Smart Materials and Structures ◽

10.1088/1361-665x/aa9f8e ◽

2018 ◽

Vol 27 (2) ◽

pp. 025007 ◽

Cited By ~ 3

Author(s):

Simon Hoell ◽

Piotr Omenzetter

Keyword(s):

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Projection Pursuit ◽

Wind Turbine Blade

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Wind Turbine Blade Damage Detection Via 3-Dimensional Phase-Based Motion Estimation

Structural Health Monitoring 2017 ◽

10.12783/shm2017/14154 ◽

2017 ◽

Cited By ~ 5

Author(s):

ARAL SARRAFI ◽

ZHU MAO

Keyword(s):

Motion Estimation ◽

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

3 Dimensional

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Experimental study on lightning discharge attachment to the modern wind turbine blade with lightning protection system

2017 13th International Conference on Emerging Technologies (ICET) ◽

10.1109/icet.2017.8281654 ◽

2017 ◽

Cited By ~ 2

Author(s):

Waqas Arif ◽

Qingmin Li ◽

Zixin Guo ◽

Manzoor Ellahi ◽

Guozheng Wang ◽

...

Keyword(s):

Experimental Study ◽

Wind Turbine ◽

Turbine Blade ◽

Lightning Discharge ◽

Wind Turbine Blade ◽

Protection System ◽

Lightning Protection

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Reliability Analysis of Condition Monitoring Network of Wind Turbine Blade Based on Wireless Sensor Networks

IEEE Transactions on Sustainable Energy ◽

10.1109/tste.2018.2836664 ◽

2019 ◽

Vol 10 (2) ◽

pp. 549-557 ◽

Cited By ~ 5

Author(s):

Zhixin Fu ◽

Yang Luo ◽

Chenghong Gu ◽

Furong Li ◽

Yuan Yue

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Wind Turbine ◽

Reliability Analysis ◽

Turbine Blade ◽

Condition Monitoring ◽

Monitoring Network ◽

Wind Turbine Blade ◽

Wireless Sensor

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