Structural health monitoring of research-scale wind turbine blades

被引:2
|
作者
Taylor, Stuart G. [1 ,4 ]
Farinholt, Kevin M. [2 ]
Park, Gyuhae [3 ]
Farrar, Charles R. [1 ]
Todd, Michael D. [4 ]
Lee, Jung-Ryul [5 ]
机构
[1] Los Alamos Natl Lab, Engn Inst, Los Alamos, NM 87544 USA
[2] Commonwealth Ctr Adv Mfg, Disputanta, VA USA
[3] Chonnam Natl Univ, Sch Mech Syst Engn, Gwangju, South Korea
[4] Univ Calif San Diego, Dept Struct Engn, San Diego, CA 92103 USA
[5] Chonbuk Natl Univ, Engn Inst, Jeonju, South Korea
基金
新加坡国家研究基金会;
关键词
Structural Health Monitoring; wind energy; fatigue crack; embedded sensing; multi-scale sensing; composite structures; wind turbine blade;
D O I
10.4028/www.scientific.net/KEM.558.364
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents ongoing work by the authors to implement real-time structural health monitoring (SHIM) systems for operational research-scale wind turbine blades. The authors have been investigating and assessing the performance of several techniques for SHIM of wind turbine blades using piezoelectric active sensors. Following a series of laboratory vibration and fatigue tests, these techniques are being implemented using embedded systems developed by the authors. These embedded systems are being deployed on operating wind turbine platforms, including a 20-meter rotor diameter turbine, located in Bushland, TX, and a 4.5-meter rotor diameter turbine, located in Los Alamos, NM. The SHIM approach includes measurements over multiple frequency ranges, in which diffuse ultrasonic waves are excited and recorded using an active sensing system, and the blade's global ambient vibration response is recorded using a passive sensing system. These dual measurement types provide a means of correlating the effect of potential damage to changes in the global structural behavior of the blade. In order to provide a backdrop for the sensors and systems currently installed in the field, recent damage detection results for laboratory-based wind turbine blade experiments are reviewed. Our recent and ongoing experimental platforms for field tests are described, and experimental results from these field tests are presented. LA-UR-12-24691.
引用
下载
收藏
页码:364 / +
页数:2
相关论文
共 50 条
  • [1] Image-based structural health monitoring of a research-scale wind turbine blade
    Loh, C. H.
    Huang, Y. T.
    Hsiung, W. Y.
    Yang, Y. S.
    LIFE-CYCLE OF STRUCTURAL SYSTEMS: DESIGN, ASSESSMENT, MAINTENANCE AND MANAGEMENT, 2015, : 1057 - 1063
  • [2] Structural Health Monitoring of Wind Turbine Blades
    Barkley, Walter C.
    Jacobs, Laura D.
    Rutherford, Mandy C.
    ES2009: PROCEEDINGS OF THE ASME 3RD INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, VOL 2, 2009, : 1047 - 1058
  • [3] On Structural Health Monitoring of Wind Turbine Blades
    Skov, Jonas Falk
    Ulriksen, Martin Dalgaard
    Dickow, Kristoffer Ahrens
    Kirkegaard, Poul Henning
    Damkilde, Lars
    DAMAGE ASSESSMENT OF STRUCTURES X, PTS 1 AND 2, 2013, 569-570 : 628 - 635
  • [4] Structural health monitoring techniques for wind turbine blades
    Ghoshal, A
    Sundaresan, MJ
    Schulz, MJ
    Pai, PF
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2000, 85 (03) : 309 - 324
  • [5] INVESTIGATION OF WAVINESS IN WIND TURBINE BLADES: STRUCTURAL HEALTH MONITORING
    Chakrapani, Sunil Kishore
    Dayal, Vinay
    Barnard, Daniel J.
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 32A AND 32B, 2013, 1511 : 310 - 316
  • [6] Impedance-based structural health monitoring of wind turbine blades
    Pitchford, Corey
    Grisso, Benjamin L.
    Inman, Daniel J.
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2007, 2007, 6532
  • [7] Structural health and intelligent monitoring of wind turbine blades with a motorized telescope
    Carnero, Alejandro
    Martin, Cristian
    Diaz, Manuel
    2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, : 105 - 112
  • [8] Using Diffused Fields for Monitoring the Structural Health of Wind Turbine Blades
    Tippmann, J. D.
    di Scalea, F. L.
    STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2, 2013, : 2369 - 2375
  • [10] Structural health monitoring of wind turbine blades by strain measurement and vibration analysis
    Grasse, F.
    Trappe, V.
    Thoens, S.
    Said, S.
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS, EURODYN 2011, 2011, : 3490 - 3497