基于光频域反射技术的风机叶片损伤识别方法研究
Damage Detection Method for Wind Turbine Blade Based on Optical Frequency Domain Reflectometry
董俊超 1罗明明 1刘剑飞 1杨文荣2
作者信息
- 1. 河北工业大学电子信息工程学院,天津 300401;河北省先进激光技术与装备重点实验室,天津 300401;天津市电子材料与器件重点实验室,天津 300401
- 2. 河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,天津 300401
- 折叠
摘要
针对传统风机叶片损伤检测中存在的定位不精确且无法在风机运行状态下进行监测的问题,提出了一种新的风机叶片损伤检测方法.该方法采用光频域反射(OFDR)技术对不同风况下风机叶片表面的应变进行测量,对应变值进行快速傅里叶变换并取其基频幅值获得叶片表面的应变分布,据此计算出叶片损伤的位置、长度和宽度,再根据应变大小与损伤程度的关系拟合出损伤程度判断公式,并据此识别叶片损伤程度.设计了基于OFDR的悬臂梁损伤检测实验,模拟了悬臂梁振动时的瞬时状态,根据应变分布识别出损伤的位置,验证了所提损伤识别方法的可行性.
Abstract
A new wind turbine blade damage detection method is proposed to address the challenges surrounding imprecise positioning and the inability to monitor the turbine under operating conditions,which is a shortcoming of traditional wind turbine blade damage detection.The proposed method uses optical frequency domain reflectometry(OFDR)to measure the surface strain of the wind turbine blade.Subsequently,fast Fourier transform is taken for the strain value and its fundamental frequency amplitude is taken to obtain the blade surface strain distribution.On this basis,the position,length and width of the blade damage are calculated.According to the relationship between the strain and damage degree,the damage degree judgment formula is fitted,and the blade damage degree is identified.Based on OFDR,a cantilever beam damage detection experiment is designed to simulate the instantaneous state of the cantilever beam vibration,and the damage location is identified according to the strain distribution,which verifies the feasibility of the proposed damage identification method.
关键词
光纤光学/光频域反射/背向散射/光纤传感器/风机叶片/损伤识别/应变分布Key words
fiber optics/optical frequency domain reflectometry/backscattering/optical fiber sensor/wind turbine blade/damage identification/strain distribution引用本文复制引用
基金项目
国家自然科学基金(6210031560)
河北省自然科学基金(F2021202054)
天津市自然科学基金(21JCQNJC00780)
出版年
2024
NETL
NSTL
万方数据