A Vibration Estimation Method for Wind Turbine Blades

被引:21
作者
Aihara, A. . [1 ,2 ]
Kawaguchi, T. . [2 ]
Miki, N. [2 ]
Azami, T. [2 ]
Sakamoto, H. [2 ]
Okuma, M. [2 ]
机构
[1] Uppsala Univ, Dept Engn Sci, Angstromlab, Lagerhyddsvagen 1, S-75121 Uppsala, Sweden
[2] Tokyo Inst Technol, Dept Mech & Aerosp Engn, Tokyo, Japan
关键词
Wind turbine blade; Vibration estimation; Modal analysis; Strain gage;
D O I
10.1007/s11340-017-0295-x
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper reports the development of a vibration monitoring system for wind turbine blades. This system is used to estimate the deflection at the tip blade on a wind turbine tower. Technical accidents of wind turbine blades have become increasingly common. Thus, regular monitoring of the blades is very important to prevent breakdowns, especially in cases when the blades begin to vibrate excessively. The monitoring system developed in this study satisfies two main objectives for practicality. First, our system is easy to install on existing wind turbines. Second, blade deflection is measured in real time. Our system can be operated using a few strain gages attached at the blade root, and the deflection is calculated based on the monitored stress. Thus, direct measurement of deflection at the blade tip is unnecessary. An estimation algorithm for this purpose is adopted based on the experimental modal analysis. This paper focuses on the evaluation of the estimation algorithm to investigate the feasibility of our system. Basic experiments were conducted using a simple blade model of a 300 W scaled wind turbine under rotation. Signals from the strain gages were acquired by a sensor network and sent to a computer through a wireless connection. The results show that the estimation accuracy is acceptably high. Therefore, we conclude that our proposed system is practical.
引用
收藏
页码:1213 / 1224
页数:12
相关论文
共 18 条
[1]   A brief status on condition monitoring and fault diagnosis in wind energy conversion systems [J].
Amirat, Y. ;
Benbouzid, M. E. H. ;
Al-Ahmar, E. ;
Bensaker, B. ;
Turri, S. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (09) :2629-2636
[2]  
[Anonymous], SMART MAT STRUCT
[3]  
[Anonymous], MECH SYST SIGNAL PRO
[4]  
[Anonymous], J PHYS C SERIES
[5]  
[Anonymous], HLTH MONITORING STRU
[6]   Development of a FBG based distributed strain sensor system for wind turbine structural health monitoring [J].
Arsenault, Tyler J. ;
Achuthan, Ajit ;
Marzocca, Pier ;
Grappasonni, Chiara ;
Coppotelli, Giuliano .
SMART MATERIALS AND STRUCTURES, 2013, 22 (07)
[7]   Full-field dynamic strain prediction on a wind turbine using displacements of optical targets measured by stereophotogrammetry [J].
Baciersad, Javad ;
Niezrecki, Christopher ;
Avitabile, Peter .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2015, 62-63 :284-295
[8]   Structural health monitoring of wind turbine blade using fiber Bragg grating sensors and fiber optic rotary joint [J].
Chen, Y. ;
Ni, Y. Q. ;
Ye, X. W. ;
Yang, H. X. ;
Zhu, S. .
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2012, PTS 1 AND 2, 2012, 8345
[9]   Fiber optic shape sensing for monitoring of flexible structures [J].
Lally, Evan M. ;
Reaves, Matt ;
Horrell, Emily ;
Klute, Sandra ;
Froggatt, Mark E. .
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2012, PTS 1 AND 2, 2012, 8345
[10]   High-precision measurement of tool-tip displacement using strain gauges in precision flexible line boring [J].
Li, CJ ;
Ulsoy, AG .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 1999, 13 (04) :531-546