Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison

Sierra-Perez Julian; Torres-Arredondo Miguel Angel; Gueemes Alfredo

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Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison

机译：基于应变场模式识别的风力涡轮机叶片损伤和非线性检测。 FBG，OBR和应变仪比较

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A 13.5 m wind turbine blade prototype was designed and made of glass fiber and vinylester resin doped with carbon nanofibers. The blade was manufactured using Light RTM (Resin Transfer Molding) as a monocoque structure with a PVC foam core.

机译：设计了一个13.5 m的风力涡轮机叶片原型，该原型由玻璃纤维和掺有碳纳米纤维的乙烯基酯树脂制成。该叶片是使用Light RTM（树脂传递模塑）作为具有PVC泡沫芯的整体结构制造的。

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来源
《Composite Structures》 |2016年第1期|156-166|共11页
作者
Sierra-Perez Julian; Torres-Arredondo Miguel Angel; Gueemes Alfredo;
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作者单位

Univ Pontificia Bolivariana, GIIA, Aeronaut Engn Sch, Medellin, Colombia;

MAN Diesel & Turbo SE, Engn Stroke Test & Validat Test Bed Management Me, Augsburg, Germany;

Univ Politecn Madrid, Dept Aerosp Mat & Proc, Madrid, Spain;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Wind turbine blade; Pattern recognition; Fiber Optic Sensors; Hierarchical nonlinear principal component analysis; Composite materials;

机译：风力发电机叶片;模式识别;光纤传感器;递阶非线性主成分分析;复合材料;

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专利

1. Damage Detection Based on Static Strain Responses Using FBG in a Wind Turbine Blade [J] . Shaohua Tian, Vittorio M.N. Passaro, Xuefeng Chen, Sensors . 2015,第8期

机译：基于FBG的风力机叶片静态应变响应损伤识别。
2. Damage detection methodology under variable load conditions based on strain field pattern recognition using FBGs, nonlinear principal component analysis, and clustering techniques [J] . Sierra-Perez Julian, Torres-Arredondo M-A, Alvarez-Montoya Joham Smart Materials & Structures . 2018,第1期

机译：基于应变场模式识别的可变负载条件下的损伤检测方法，非线性主成分分析和聚类技术
3. Damage detection by using FBGs and strain field pattern recognition techniques [J] . Sierra-Pérez J., Güemes A., Mujica L.E. Smart Materials & Structures . 2013,第2期

机译：使用FBG和应变场模式识别技术进行损伤检测
4. Modal macro-strain vector based damage detection methodology with long-gauge FBG sensors [C] . B. Xu, C.W. Liu, Sami F. Masri International conference on smart materials and nanotechnology in engineering . 2009

机译：长距离FBG传感器基于模态宏应变矢量的损伤检测方法
5. Application of dynamic expansion from limited measurements for full-field stress/strain on wind turbine blades. [D] . Carr, Jennifer. 2013

机译：从有限的测量值开始动态扩展，以获取风力涡轮机叶片上的全场应力/应变。
6. Damage Detection Based on Static Strain Responses Using FBG in a Wind Turbine Blade [O] . Shaohua Tian, Zhibo Yang, Xuefeng Chen, 2015

机译：基于FBG的风力机叶片静态应变响应损伤识别。
7. Damage Detection Based on Static Strain Responses Using FBG in a Wind Turbine Blade [O] . Shaohua Tian, Zhibo Yang, Xuefeng Chen, 2015

机译：基于FBG的风力机叶片静态应变响应损伤检测
8. Integration of Bridge Damage Detection Concepts and Components. Volume 1: Strain-Based Damage Detection. Final Report 1 of 3. [R] . Phares, B. M., Greimann, L., Choi, H. 2013

机译：桥梁损伤检测概念和组件的集成。第1卷：基于应变的损伤检测。最终报告1。

Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison

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