基于声发射传感器阵列的风机叶片结构健康监测方法
Structural Health Monitoring of Wind Turbine Blade Based on Sensor Array and Acoustic Emission
摘 要
风机叶片结构健康监测是一个迫切需要解决的问题。通过分析各种风力机叶片的损伤检测方法, 结合声发射技术特点, 研究了基于声发射传感器阵列的风机叶片结构健康监测方法。其中, PZT压电陶瓷传感器阵列布设于受损率较高的叶片部位, 对叶片按20%最大设计载荷的增量施加载荷, 结合Kaiser效应和Felicity效应, 分析采集到的声发射信号, 统计声发射波击数, 从而判断损伤发生的区域。该方法相比于其他检测技术具有灵敏度高、定位准确和实时性好的特点, 在风机叶片结构健康监测研究领域具有较大的意义。
结构健康监测
声发射检测
传感器阵列
Wind turbine blade
Structural health monitoring
Acoustic emission testing
Sensor array
Abstract
The structural health monitoring of the wind turbine blade is an urgent problem to be solved in wind energy area. This paper analyzed techniques of damage detection for the wind turbine blade and studied the method to monitor the structural health of them based on the acoustic emission sensor array. In the monitoring system PZT sensor array was designed and arranged in areas of high damage probability. Loading to the blade was changed at step of 20% of the maximum designed loading, and the acoustic signal was collected and analyzed so as to determine the damage area based on statistics of acoustic wave hits. This method has the advantages of high sensitivity, accurate location, and real-time detection, thus is a promising method in practical applications.
中图分类号 TG115.28
所属栏目 2010年远东无损检测论坛论文精选
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备注朱永凯(1975-), 男, 博士, 副教授, 主要研究方向为结构健康监测、智能传感技术。
引用该论文: ZHU Yong-Kai,PAN Ren-Qian,CHEN Sheng-Piao,TIAN Gui-Yun. Structural Health Monitoring of Wind Turbine Blade Based on Sensor Array and Acoustic Emission[J]. Nondestructive Testing, 2010, 32(10): 753～756
朱永凯,潘仁前,陈盛票,田贵云. 基于声发射传感器阵列的风机叶片结构健康监测方法[J]. 无损检测, 2010, 32(10): 753～756
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参考文献
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【2】Lekou D, Vionis P, Joosse P A, et al. Full-scale blade testing enhanced by acoustic emission monitoring[C]. Proc European Wind Energy Conference, Madrid, Spain, 2003.
【3】Paquette J, Van Dam J, Hughes S. Structural testing of 9m carbon fiber wind turbine research blades[C]. AIAA 2007 Wind Energy Symposium, Reno, USA, 2007.
【4】Dam J van, Eric Jacobson, Hal Link, et al. Wind turbine generator system duration test report for the altantic orient 15/50 wind turbine[R]. National Wind Technology Center, 2003.
【5】Srensen B F. Improved design of large wind turbine blade of fibre composites based on studies of scale effects (Phase 1) Summary Report[R]. Ris National Laboratory, Denmark, 2004.
【6】Musial W, Butterfield S, McNiff B. Improving wind turbine gearbox reliability[C]. European Wind Energy Conference, Milan, Italy, 2007.
【7】Polak S. Gearbox & Gear System problems[EB/OL]. http: //www.tribology.co.uk/publish/p004.htm
【8】Tavner P J. Review of condition monitoring of rotating electrical machines[J]. IET Electric Power Applications, 2008, 2(4): 215-247.
【9】Goutham R Kirikera, Vishal Shinde, Mard J Schulz, et al. A structural neural system for real-time health monitoring of composite materials[J]. Structural Health Monitoring, 2008, 7(1): 65-83.
【10】Dutton AG, Blanch M J, Vionis P, et al. Acoustic emission condition monitoring of wind turbine rotor blades: laboratory certification testing to large scale in-service deployment[C]. Proceedings of the 2001 European Wind Energy Conference, Copenhagen, Denmark, 2001.
【11】Goutham R. Kirikera, Vishal Shinde, Mark J. Schulz, et al. Monitoring Multi-Site Damage Growth During Quasi-Static Testing of a Wind Turbine Blade using a Structural Neural System[J]. Structural Health Monitoring, 2008, 7(2): 157-173.
【12】龚仁荣.结构材料中声发射传播特性的研究[D].江苏: 江苏大学, 2005.
【13】Beattie A G. Acouctic Emission Monitoring of a Wind Turbine Blade During a Fatigue Test[C]. 35th AIAA Aerospace Sciences Meeting and ASME Wind Energy Symposium, Reno, USA, 1997.
【14】Kishi T, Ohtsu M, Yuyama S. Acoustic Emission-Beyond the Millennium[M]. USA: Elsevier, 2000: 77.
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