Study on Monitoring Damage about Material of Blade in Wind Turbine Based on Acoustic Emission

Abstract:

Article Preview

The monitoring about key components of large wind turbine is important, especially blade. Damages in the material of blade in large wind turbine will cause strain and thus can produce acoustic emission. And this study is presently a new research area in china. This paper refers to the preliminary exploration of common fracture characteristic. Acoustic emission can be used to identify and diagnose the damage. Analyzing the acoustic emission characteristics of the damage in the wind turbine system is emphasized by the experiment. At first, the acoustic emission signals of two different damages and vibration signal of those are compared and analyzed to demonstrate the superiority of the time domain of acoustic emission signals based method for the damage identification. Then, the wavelet is introduced and its characteristics are illustrated. Finally, the wavelet is used to analyze and discuss the time-frequency features of the damage acoustic emission. Some frequency band of wavelets is recomposed, and the results can efficiently extract the features of acoustic emission signal and identify the damage. It offers a valuable reference to monitor the damage about blade of large wind turbine.

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang

Pages:

2753-2758

DOI:

10.4028/www.scientific.net/AMR.201-203.2753

Citation:

X. G. Zhao et al., "Study on Monitoring Damage about Material of Blade in Wind Turbine Based on Acoustic Emission", Advanced Materials Research, Vols. 201-203, pp. 2753-2758, 2011

Online since:

February 2011

Export:

Price:

$35.00

[1] Tomasz Barszcz, Robert B. Randall. Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine. Mechanical Systems and Signal Processing, 1352-1365(2009).

DOI: 10.1016/j.ymssp.2008.07.019

[2] Xiaobo Liu, Yuangang Zou. Study of crack damage of rotor blade based on finite limited method. Machinery design&manufacture. 167-169(2008).

[3] Jiang Liu, Yongqing Ge. Study of detecting of steam turbine blade based on wavelet analysis. Turbine Technology, 379-382(2006).

[4] Mandel J.F., Reed M. Samborsky D. et al, Fatigue perfomance of wind turbine blade composite material. Wind Energy, 191-198(1993).

[5] Bossanyi E.A. Blade G.H. Version 3. 67user manual. Garral Hassan &Partners Limited, (2005).

[6] P.A. Joosse, M.J. Blanch A.G. Dutton, D.A. Kouroussis, et al. Acoustic Emission Monitoring of Small Wind Turbine Blades[J]. AIAA, 2002, 0063.

DOI: 10.2514/6.2002-63

[7] A. A. Anastassopoulos, D.A. Kouroussis, V. N. Nikolaidis. Structural Integrity Evaluation of wind turbine blades using pattern recognition analysis on acoustic emission data. (2002).

[8] M.J. Sundaresan, M.J. Schulz, A. Ghoshal. Structural Health Monitoring Static Test of a Wind Turbine Blade, Journal of wind engineering and industrial aerodynamics, ,85(2000), 309-324.

DOI: 10.1016/s0167-6105(99)00132-4

In order to see related information, you need to Login.