Advanced Tools for Damage Detection in Wind Turbines

被引：0
|
作者：
Antoniadou, Ifigeneia [1 ]
Dervilis, Nikolaos [1 ]
Barthorpe, Robert J. [1 ]
Manson, Graeme [1 ]
Worden, Keith [1 ]
机构：
[1] Univ Sheffield, Dynam Res Grp, Dept Mech Engn, Sheffield S1 3JD, S Yorkshire, England
来源：
DAMAGE ASSESSMENT OF STRUCTURES X, PTS 1 AND 2 | 2013年 / 569-570卷
关键词：
Structural health monitoring of wind turbines; pattern recognition; time-frequency analysis; EMPIRICAL MODE DECOMPOSITION; WAVELET TRANSFORM; NOVELTY DETECTION; FAULT-DETECTION;
D O I：
10.4028/www.scientific.net/KEM.569-570.547
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The paper summarises some advanced damage detection approaches used for Structural Health Monitoring (SHM) and Condition Monitoring (CM) of wind turbine systems. In the signal processing part, recent time-frequency analysis methods will be presented and examples of their application on condition monitoring of gearboxes will be given. In the pattern recognition part, examples of damage detection in blades will be used to introduce different algorithms for novelty detection.
引用
收藏
页码：547 / 554
页数：8
相关论文
共 50 条
  • [1] MEMS Multisensor Intelligent Damage Detection for Wind Turbines
    Moradi, Maziar
    Sivoththaman, Siva
    IEEE SENSORS JOURNAL, 2015, 15 (03) : 1437 - 1444
  • [2] Early Detection of Main Bearing Damage in Wind Turbines
    Moyón L.
    Encalada-Dávila Á.
    Tutivén C.
    Vidal Y.
    Renewable Energy and Power Quality Journal, 2022, 20 : 773 - 777
  • [3] Wind energy education through low-power wind turbines and advanced software tools
    Baños R.
    Alcayde A.
    Montoya F.G.
    Arrabal-Campos F.M.
    Jara A.J.
    Renewable Energy and Power Quality Journal, 2021, 19 : 534 - 539
  • [4] An Innovative Structural Damage Detection System for Preventive Maintenance of Wind Turbines
    Muammer Ozbek
    Arabian Journal for Science and Engineering, 2022, 47 : 13623 - 13637
  • [5] An Innovative Structural Damage Detection System for Preventive Maintenance of Wind Turbines
    Ozbek, Muammer
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2022, 47 (10) : 13623 - 13637
  • [6] Damage detection on structures of offshore wind turbines using multiparameter eigenvalues
    Reetz, Johannes
    Wind Energy, 2007, : 301 - 304
  • [7] Experimental damage detection on small wind turbines through vibration and acoustic analysis
    Castellani, F.
    Astolfi, D.
    Becchetti, M.
    Berno, F.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018), 2018, : 4793 - 4807
  • [8] Early damage detection system for tower and rotor blades of offshore wind turbines
    Rolfes, R.
    Gerasch, W.-J.
    Haake, G.
    Reetz, J.
    PROCEEDINGS OF THE THIRD EUROPEAN WORKSHOP STRUCTURAL HEALTH MONITORING 2006, 2006, : 455 - 462
  • [9] Modeling and Advanced Control of Wind Turbines/Wind Farms
    Hu, J.
    Hou, Y.
    Zhu, Z.
    Xu, D.
    Xu, D.
    Muljadi, E.
    Liu, F.
    Iwanski, G.
    Geng, H.
    Erlich, I.
    Wen, J.
    Harnefors, L.
    Fan, L.
    El Moursi, M. S.
    Kjaer, P. C.
    Nelson, R. J.
    Cardenas, R.
    Feng, S.
    Islam, S.
    Qiao, W.
    Yuan, X.
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2017, 32 (03) : 1105 - 1107
  • [10] Support Tools in the Development of Bearings for Wind Turbines
    Madaj, R.
    Kohar, R.
    LATEST METHODS OF CONSTRUCTION DESIGN, 2016, : 57 - 62
12345