A survey of health monitoring systems for wind turbines

被引:149
|
作者
Wymore, Mathew L. [1 ]
Van Dam, Jeremy E. [2 ]
Ceylan, Halil [3 ]
Qiao, Daji [1 ]
机构
[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Aerosp Engn, Ames, IA 50011 USA
[3] Iowa State Univ, Dept Civil Construct & Environm Engn, Ames, IA 50011 USA
来源
基金
美国国家科学基金会;
关键词
Wind energy; Health monitoring; Sensing systems; CONDITION-BASED MAINTENANCE; OF-THE-ART; FAULT-DIAGNOSIS; SENSOR; MACHINERY;
D O I
10.1016/j.rser.2015.07.110
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wind energy has played an increasingly vital role in renewable power generation, driving the need for more cost-effective wind energy solutions. Health monitoring of turbines could provide a variety of economic and other benefits to aid in wind growth. A number of commercial and research health monitoring systems have been implemented for wind turbines. This paper surveys these systems, providing an analysis of the current state of turbine health monitoring and the challenges associated with monitoring each of the major turbine components. This paper also contextualizes the survey with the various potential benefits of health monitoring for turbines. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:976 / 990
页数:15
相关论文
共 50 条
  • [31] Condition monitoring with signal processing in wind turbines
    Nese, Secil Varbak
    Kilic, Osman
    Akinci, Tahir Cetin
    JOURNAL OF VIBROENGINEERING, 2011, 13 (03) : 439 - 445
  • [32] Gearbox condition monitoring in wind turbines: A review
    Salameh, Jack P.
    Cauet, Sebastien
    Etien, Erik
    Sakout, Anas
    Rambault, Laurent
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 111 : 251 - 264
  • [33] Acoustic inspection system with unmanned aerial vehicles for wind turbines structure health monitoring
    García Márquez, Fausto Pedro
    Bernalte Sánchez, Pedro José
    Segovia Ramírez, Isaac
    Structural Health Monitoring, 2022, 21 (02) : 485 - 500
  • [34] Gaussian process models for mitigation of operational variability in the structural health monitoring of wind turbines
    Avendano-Valencia, Luis David
    Chatzi, Eleni N.
    Tcherniak, Dmitri
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 142 (142)
  • [35] Structural health monitoring of offshore wind turbines using distributed acoustic sensing (DAS)
    Xu, James T.
    Luo, Linqing
    Saw, Jaewon
    Wang, Chien-Chih
    Sinha, Sumeet K.
    Wolfe, Ryan
    Soga, Kenichi
    Wu, Yuxin
    Dejong, Matthew
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2025, 15 (02) : 445 - 463
  • [36] Virtual Assessment of Structural Health Monitoring Techniques for Wind Turbines Using Vibration Data
    Di Lorenzo, E.
    Manzato, S.
    Peeters, B.
    STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2, 2013, : 2392 - 2399
  • [37] Design of a Condition Monitoring System for Wind Turbines
    Park, Jinje
    Kim, Changhyun
    Dinh, Minh-Chau
    Park, Minwon
    ENERGIES, 2022, 15 (02)
  • [38] Fault diagnosis and condition monitoring of wind turbines
    Niemann, Henrik
    Poulsen, Niels Kjolstad
    Mirzaei, Mahmood
    Henriksen, Lars Christian
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2018, 32 (04) : 586 - 613
  • [39] Holistic Condition Monitoring for Offshore Wind Turbines
    Martin, Emilio Miguelanez
    8TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND MACHINERY FAILURE PREVENTION TECHNOLOGIES 2011, VOLS 1 AND 2, 2011, : 636 - 646
  • [40] Improved power curve monitoring of wind turbines
    Morshedizadeh M.
    Kordestani M.
    Carriveau R.
    Ting D.S.K.
    Saif M.
    Carriveau, Rupp (rupp@uwindsor.ca), 2017, SAGE Publications Inc., United States (41) : 260 - 271