宋言明,孟凡勇,娄小平,祝连庆.采用FBG正交传感网络的静载识别研究[J].电子测量与仪器学报,2017,31(8):1227-1232
采用FBG正交传感网络的静载识别研究
Research on static load identification using FBG orthogonal sensing network
  
DOI:10.13382/j.jemi.2017.08.010
中文关键词:  复合材料  智能蒙皮  静载识别  光纤布拉格光栅
英文关键词:composite material  smart skins  static load identification  FBG
基金项目:教育部创新团队发展计划(IRT 16R07)、北京市科技计划(Z151100003615010)资助项目
作者单位
宋言明 北京信息科技大学光电信息与仪器北京市工程研究中心光电测试技术北京市重点实验室北京100016 
孟凡勇 北京信息科技大学光电信息与仪器北京市工程研究中心光电测试技术北京市重点实验室北京100016 
娄小平 北京信息科技大学光电信息与仪器北京市工程研究中心光电测试技术北京市重点实验室北京100016 
祝连庆 北京信息科技大学光电信息与仪器北京市工程研究中心光电测试技术北京市重点实验室北京100016 
AuthorInstitution
Song Yanming Beijing Engineering Research Center of Optoelectronic Information and Instruments, Beijing Key Laboratory for Optoelectronics Measurement Technology, Beijing Information Science and Technology University, Beijing 100016, China 
Meng Fanyong Beijing Engineering Research Center of Optoelectronic Information and Instruments, Beijing Key Laboratory for Optoelectronics Measurement Technology, Beijing Information Science and Technology University, Beijing 100016, China 
Lou Xiaoping Beijing Engineering Research Center of Optoelectronic Information and Instruments, Beijing Key Laboratory for Optoelectronics Measurement Technology, Beijing Information Science and Technology University, Beijing 100016, China 
Zhu Lianqing Beijing Engineering Research Center of Optoelectronic Information and Instruments, Beijing Key Laboratory for Optoelectronics Measurement Technology, Beijing Information Science and Technology University, Beijing 100016, China 
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中文摘要:
      针对复合材料智能蒙皮静载响应监测下的定位识别技术开展研究,提出并设计了一种静载识别验证系统。选用碳纤维复合材料板(CFRP)为研究对象,搭建光纤布拉格光栅正交对称式传感网络对复合材料板进行静载位置识别。利用数据相关加权系数理论和算法,对加载位置进行识别,实验表明定位精度低于2 cm。设计的静载识别验证系统为CFRP蒙皮结构健康监测提供了新思路和新方法。
英文摘要:
      In order to research the location identification technology of smart skin under static load response, a static load identification verification system is presented and designed. An optical fiber Bragg grating (FBG) orthogonal symmetrical sensing network is constructed, static load position identification of composite plate is carried out, where carbon fiber reinforced plastics (CFRP) is as a research object. The loading position is identified by using data correlation weighting coefficient theory and algorithm, and the test shows that the positioning accuracy is less than 2 cm. The design of static load identification verification system provides new idea and method for CFRP skin structure health monitoring.
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