基于弱光纤光栅传感器阵列的管道损伤识别

Hongreng Li, Feiyang Pu, Qiankui Feng, X. Tong
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引用次数: 0

摘要

随着科学技术的发展,光纤传感预警方法的发展尤为迅速。同时存在定位精度低、虚警率高的问题。因此,提出了一种基于弱光纤布拉格光栅(wFBG)传感器阵列和工作模式算法相结合的灵敏度更高的方法。实验结果表明,基于频域分解方法(FDD)的改进峰值提取法(PP)计算的应变模态向量对损伤识别的敏感性高于应变模态。实验结果表明,由弱光纤光栅传感器阵列计算得到的应变模态向量能够识别管道损伤程度和位置等高度稳定的模态参数,具有应用于长输管道无损监测的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pipeline damage identification based on weak fiber Bragg grating sensor array
With the development of science and technology, the development of optical fiber sensing early warning methods is particularly rapid. At the same time, there are low positioning accuracy and high false alarm rate. Therefore, a more sensitive method based on the combination of weak fiber Bragg grating (wFBG) sensor array and working mode algorithm was proposed. The experimental results show that the strain modal vectors calculated by the improved peak pick-up method (PP) based on the frequency domain decomposition method (FDD) are more sensitive for damage identification than the strain modes. The experimental results show that the strain modal vector calculated by weak fiber Bragg grating sensor array can identify the highly stable modal parameters of pipeline damage degree and location, and has the potential to be applied to long-distance pipeline nondestructive monitoring.
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