scholarly journals Wind Turbine Blade Monitoring with Brillouin-Based Fiber-Optic Sensors

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Agnese Coscetta ◽  
Aldo Minardo ◽  
Lucio Olivares ◽  
Maurizio Mirabile ◽  
Mario Longo ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Fiber Optic ◽  
Strain Sensor ◽  
Experimental Tests ◽  
Fiber Optic Sensors ◽  
Composite Blade ◽  
Operation Stability ◽  
Distributed Strain ◽  
Strain Detection

Wind turbine (WT) blade is one of the most important components in WTs, as it is the key component for receiving wind energy and has direct influence on WT operation stability. As the size of modern turbine blade increases, condition monitoring and maintenance of blades become more important. Strain detection is one of the most effective methods to monitor blade conditions. In this paper, a distributed fiber-optic strain sensor is used for blade monitoring. Preliminary experimental tests have been carried out over a 14 m long WT composite blade, demonstrating the possibility of performing distributed strain and vibration measurements.

Dynamic Analysis for Wind Turbine Composite Blade

2013 ◽  
Vol 364 ◽  
pp. 102-106 ◽  
Author(s):  
Li Qun Zhou ◽  
Shuai Heng Xing ◽  
Yu Ping Li
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Inertia Force ◽  
Rotational Inertia ◽  
Fiber Layer ◽  
Composite Blade ◽  
Nature Frequency ◽  
The Relationship ◽  
Blade Model

Wind turbine blade model is analyzed based on finite element method. Research and comparison of blade natural frequencies is made in different rotational working conditions taking into account external factors such as the rotational inertia force. Also the relationship between the composite ply angle and natural frequency is analyzed. The result shows that the nature frequency of wind turbine blade is influence greatly by the stress stiffening effect for the blade rotation. And the nature frequency of wind turbine blade can be designed by adjusting the single fiber layer ply angle of blade.

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.

Prediction of Transition Point on an Oscillating Airfoil Using Neural Network

2007 ◽  
Author(s):  
M. R. Soltani ◽  
M. Seddighi ◽  
M. Masdari
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Transition Point ◽  
Experimental Tests ◽  
Reynolds Numbers ◽  
Dynamic Neural Network ◽  
Acceptable Accuracy ◽  
Transition Points ◽  
Trained Network

Dynamic Neural network was used to minimize the amount of data required to predict the location of transition point on a 2-D oscillatory wing. For this purpose, various experimental tests were carried out on a section of a 660kw wind turbine blade. A multi layer non linear perceptrons network was trained using the output signals of four hot films attached on the upper surface of the model. Results show that using only 50% of the test data, the trained network was able to the transition point with an acceptable accuracy. Moreover, the method can predict the transition points at any position of the wing surface for different Reynolds numbers, amplitudes and initial angles of oscillation, and of course at various reduced frequencies.

RANCANGAN DAN ANALISIS STRUKTUR SUDU TURBIN ANGIN LPN 10000 E

2010 ◽  
Vol 3 (2) ◽  
Author(s):  
Sulistyo Atmadi ◽  
Firman Hartono
Keyword(s):  
Structural Analysis ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Safety Factor ◽  
Bending Moment ◽  
High Strength ◽  
Wind Turbine Blade ◽  
Unidirectional Reinforcement ◽  
Composite Blade ◽  
Operational Load

Structure of the LPN 10000 E wind turbine blade has been manufactured and its structural analysis to find out the strenght of this structure during its operation has also been conducted. The method of aero bending moment and centrifugal bending moment and load has been used while neglegting frcitional and torsional load. The analysis is obtained for composite blade strengthened by high strength carbon unidirectional reinforcement composite. With safety factor of 1.3 minimum, it was concluded that the blade is strong enough to use at its designed operational load.

Research on Forming Technology of Thermoplastic Composite Blade for Wind Turbine

2013 ◽  
Vol 328 ◽  
pp. 139-143
Author(s):  
Hai Tang Cen ◽  
Xiao Liang Wang ◽  
Zhi Yong Hu
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
High Performance ◽  
Wind Turbine Blade ◽  
Thermoplastic Composite ◽  
Deformation Model ◽  
Thermoplastic Resin ◽  
Forming Process ◽  
Composite Blade ◽  
Forming Technology

Thermoplastic composite has become preferred material for wind turbine blade with high performance, low cost and greenization. The fused mass of the thermoplastic resin has high viscosity and the forming of the thermoplastic composite materials is laborious, quality is not readily guaranteed, thus, the widespread use of thermoplastic composite blades for wind turbine is restricted. Based on the analysis of all kinds of the characteristics of thermoplastic forming technology, the paper has points out that the diaphragm forming is especially suitable for making a hyperboloid, variable thickness, large size wind turbine thermoplastic composite blade structure. The key to improving the forming quality and the efficiency of the thermoplastic blade forming is to establish finite element deformation model of a diaphragm forming process, to effectively control the process parameters such as temperature, pressure, forming rate. Conducting research on thermoplastic blade diaphragm forming technology lay the foundation for the industrialization of thermoplastic wind turbine blade.

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