Damage Identification in a Laboratory Offshore Wind Turbine Demonstrator

被引:3
作者
Gomez Gonzalez, Ana [1 ]
Zugasti, Ekhi [2 ]
Anduaga, Javier [2 ]
机构
[1] Univ Santiago de Compostela, Dept Appl Math, Santiago De Compostela, Spain
[2] IK 4 Ikerlan, Departent Sensors, Gipuzkoa, Spain
来源
DAMAGE ASSESSMENT OF STRUCTURES X, PTS 1 AND 2 | 2013年 / 569-570卷
关键词
Damage identification; Structural Health Monitoring; AutoRegressive method; EIGENFREQUENCY CHANGES; FAULT-DETECTION;
D O I
10.4028/www.scientific.net/KEM.569-570.555
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a method to detect and identify damage in a laboratory offshore wind turbine support structure. The structure consists of three different parts: the jacket, the tower and the nacelle. The jacket is a lattice structure joined with several bolts. The tower consists of three different sections joined by bolts. The nacelle is composed of a single piece. The different parts are also joined with bolts. The damage in the structure is simulated by loosening some of the bolts in the jacket. Two damage detection algorithms, namely AutoRegressive methods and NullSpace methods, have been tested in a primitive variation of this structure without the jacket, obtaining good results. In this paper we present the application of the last damage detection method to the new structure with the jacket and an extension to identification of the damage.
引用
收藏
页码:555 / +
页数:3
相关论文
共 24 条
[1]  
Allemang R.J., 1982, P INT MODAL ANAL C, P110, DOI DOI 10.14822/KJSASS.50.582_145
[2]  
[Anonymous], 1999, SYSTEM IDENTIFICATIO
[3]  
Balageas D., 2006, Structural Health Monitoring
[4]   Subspace-based fault detection algorithms for vibration monitoring [J].
Basseville, M ;
Abdelghani, M ;
Benveniste, A .
AUTOMATICA, 2000, 36 (01) :101-109
[5]   Structural health monitoring for a wind turbine system: a review of damage detection methods [J].
Ciang, Chia Chen ;
Lee, Jung-Ryul ;
Bang, Hyung-Joon .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2008, 19 (12)
[6]  
De Boe P., 2003, Structural Health Monitoring, V2, P137, DOI DOI 10.1177/1475921703002002005
[7]  
Doebling S.W., 1996, ALAMOS NATL LAB REPO, DOI [10.2172/249299, DOI 10.2172/249299]
[8]   Time-series methods for fault detection and identification in vibrating structures [J].
Fassois, Spilios D. ;
Sakellariou, John S. .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2007, 365 (1851) :411-448
[10]   SPECTRUM ANALYSIS - A MODERN PERSPECTIVE [J].
KAY, SM ;
MARPLE, SL .
PROCEEDINGS OF THE IEEE, 1981, 69 (11) :1380-1419