scholarly journals Acoustic emission monitoring of a wind turbine blade during a fatigue test

1997 ◽  
Author(s):  
A. Beattie ◽  
A. Beattie
Keyword(s):  
Acoustic Emission ◽  
Wind Turbine ◽  
Fatigue Test ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Acoustic Emission Monitoring ◽  
Emission Monitoring

Damage mode identification of composite wind turbine blade under accelerated fatigue loads using acoustic emission and machine learning

2019 ◽  
Vol 19 (4) ◽  
pp. 1092-1103 ◽  
Author(s):  
Pengfei Liu ◽  
Dong Xu ◽  
Jingguo Li ◽  
Zhiping Chen ◽  
Shuaibang Wang ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Mode Identification ◽  
Emission Signal ◽  
Composite Blade ◽  
Acoustic Emission Sensors ◽  
Safety Precaution ◽  
Fatigue Loads

This article studies experimentally the damage behaviors of a 59.5-m-long composite wind turbine blade under accelerated fatigue loads using acoustic emission technique. First, the spectral analysis using the fast Fourier transform is used to study the components of acoustic emission signals. Then, three important objectives including the attenuation behaviors of acoustic emission waves, the arrangement of sensors as well as the detection and positioning of defect sources in the composite blade by developing the time-difference method among different acoustic emission sensors are successfully reached. Furthermore, the clustering analysis using the bisecting K-means method is performed to identify different damage modes for acoustic emission signal sources. This work provides a theoretical and technique support for safety precaution and maintaining of in-service blades.

Study of Fatigue Test Loading Spectrum for Wind Turbine Blade

2014 ◽  
Vol 889-890 ◽  
pp. 221-224
Author(s):  
Gao Hua Liao ◽  
Jian Zhong Wu ◽  
Yong Jun Yu
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Fatigue Test ◽  
Turbine Blade ◽  
Time History ◽  
Wind Load ◽  
Wind Turbine Blade ◽  
Fatigue Life Analysis ◽  
Test Loading ◽  
Loading Spectrum

According to the principle of equivalent, the approach to draw up the fatigue test loading spectrum of wind turbine blade is presented. Analysis of wind load characteristics, based on ARMA (Autoregressive Moving Average Model) for the simulation of wind speed, wind load simulation example is given. Using Bladed software, the wind speed-time history is converted to a moment-time history that is the equivalent of blade root.Using data compression technology and the rain flow counting algorithm, load represented by a 2D matrix examples is given.The one-dimensional symmetry loading spectrum draw up, the complexity can be simplified, and provides the necessary foundation for fatigue life analysis.

scholarly journals Joint excitation synchronization characteristics of fatigue test for offshore wind turbine blade

AIP Advances ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. 025112 ◽  
Author(s):  
Lei-an Zhang ◽  
Xiang-yong Yu ◽  
Xiu-ting Wei ◽  
Wei-sheng Liu
Keyword(s):  
Wind Turbine ◽  
Fatigue Test ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Offshore Wind ◽  
Offshore Wind Turbine

scholarly journals The Study of Wind Turbine Blade Fatigue Test

2021 ◽  
Vol 293 ◽  
pp. 02024
Author(s):  
Jiaqi Zheng ◽  
Qiming Yu ◽  
Botao Zhu ◽  
Changqing Wu ◽  
Yiling Huang ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Fatigue Test ◽  
Turbine Blade ◽  
Excitation Amplitude ◽  
Wind Turbine Blade ◽  
Excitation Mode ◽  
Practical Operation ◽  
Important Means ◽  
Feasible Solutions ◽  
The Relationship

The fatigue test of wind turbine blade is an important means to verify the fatigue life of wind turbine blade. This paper analyses the problems existing in the fatigue test of wind turbine blade, focuses on the excitation mode, the relationship between excitation amplitude and vibration frequency and the vibration principle, and puts forward feasible solutions in practical operation.

An Identification Method of Appearances and Expansion of Fatigue Crack in the Wind Turbine Blade Based on Fractal Feature

2012 ◽  
Vol 591-593 ◽  
pp. 2123-2126
Author(s):  
Bo Zhou ◽  
Chang Zheng Chen ◽  
Quan Gu ◽  
Huan Liu
Keyword(s):  
Acoustic Emission ◽  
Fractal Dimension ◽  
Fatigue Crack ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Correlation Dimension ◽  
Wind Turbine Blade ◽  
Crack Identification ◽  
Simplified Method ◽  
Fatigue Experiment

In this work an efficient and simplified method for crack identification in wind turbine blade has been developed based on fractal dimension. Firstly, the algorithm is studied on the calculation of the correlation dimension of acoustic emission signals, and an analysis of these equations makes it possible to identify cracks. Then it turns out that the complexity could vary with different crack expansion conditions, i.e. reduction and augmentation of the correlation dimension due to the occurrence of a crack by the fatigue experiment. Finally, the proposed detection methodology is compared to wavelet analysis. It is testified that the method exploits both the typical steady expansion of the crack and the appearance phenomenon due to the presence of crack.

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