Fault analysis of wind turbines in China

被引:135
|
作者
Lin, Yonggang [1 ]
Tu, Le [1 ]
Liu, Hongwei [1 ]
Li, Wei [1 ]
机构
[1] Zhejiang Univ, State Key Lab Fluid Power Transmiss & Control, Hangzhou 310027, Zhejiang, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Fault analysis; Wind turbine; Failure; Reliability; SUBSYNCHRONOUS RESONANCE ANALYSIS; MANUFACTURING-INDUSTRY; RELIABILITY-ANALYSIS; DFIG; ENERGY; PERFORMANCE; GENERATION; FUTURE; ISSUES;
D O I
10.1016/j.rser.2015.10.149
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The installed capacity of wind turbines in China increased rapidly in the past 10 years. Against the backdrop of growing wind turbine capacity, the failure of wind turbines is becoming increasingly serious. Based on the three primary configurations and failure statistics analysis of wind turbines in China, this paper summarizes the failures of wind turbine components, such as frequency converters, generators, gearboxes, pitch systems, yaw systems, blades, braking systems and sub-synchronous machines. Although there are many failure types and various causes, we can deduce four primary reasons for these failures: lack of core technologies; inferior quality due to price competition; design standards and wind farm climate differences; and no mandatory quality certification and exterior factors, such as wind farm construction, power grids and maintenance. Finally, while aiming to improve the reliability, a reliability management method. with regard to the design, manufacturing and maintenance of wind turbines was proposed. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:482 / 490
页数:9
相关论文
共 50 条
  • [31] Fault Ride-Through Testing of Wind Turbines
    Mo, Olve
    Tande, John
    Warland, Leif
    Ljokelsoy, Kjell
    WIND ENGINEERING, 2006, 30 (02) : 129 - 140
  • [32] Intelligent System for Fault Detection in Wind Turbines Gearbox
    Mesquita Brandao, R. F.
    Beleza Carvalho, J. A.
    Maciel Barbosa, F. P.
    2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [33] A NOVEL APPROACH TO FAULT DETECTION AND DIAGNOSIS ON WIND TURBINES
    Gomez Munoz, C. Q.
    De la Hermosa Gonzalez-Carrato, Ruiz R.
    Trapero Arenas, J. R.
    Garcia Marquez, F. P.
    GLOBAL NEST JOURNAL, 2014, 16 (06): : 1029 - 1037
  • [34] Fault Diagnosis for Large-scale Wind Turbines
    Sun, Ziqiang
    Chen, Changzheng
    Liang, Shumin
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 740 - 743
  • [35] State Rules Mining and Probabilistic Fault Analysis for 5 MW Offshore Wind Turbines
    Qian, Xiaoyi
    Zhang, Yuxian
    Gendeel, Mohammed
    ENERGIES, 2019, 12 (11)
  • [36] Reliability analysis for wind turbines
    Tavner, P. J.
    Xiang, J.
    Spinato, F.
    WIND ENERGY, 2007, 10 (01) : 1 - 18
  • [37] Seismic Analysis of Wind Turbines
    Diaz, Otoniel
    Suarez, Luis E.
    EARTHQUAKE SPECTRA, 2014, 30 (02) : 743 - 765
  • [38] On Cointegration Analysis for Condition Monitoring and Fault Detection of Wind Turbines Using SCADA Data
    Dao, Phong B.
    ENERGIES, 2023, 16 (05)
  • [39] Multi-condition Monitoring and Fault Diagnosis of Wind Turbines Based on Cointegration Analysis
    Wang Q.
    Su C.
    Wen Z.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2022, 33 (13): : 1596 - 1603
  • [40] Risk assessment of floating offshore wind turbines based on fuzzy fault tree analysis
    Zhang, Jialiang
    Kang, Jichuan
    Sun, Liping
    Bai, Xu
    OCEAN ENGINEERING, 2021, 239