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基于光纤布拉格光栅和时间差的风力涡轮机叶片表面冲击位置确定

Location Determination of Impact on the Wind Turbine Blade Surface Based on the FBG and the Time Difference.

作者信息

Wang Bingkai, Sun Wenlei, Wang Hongwei, Wan Yunfa, Xu Tiantian

机构信息

School of Mechanical Engineering, Xinjiang University, Urumqi 830047, China.

出版信息

Sensors (Basel). 2021 Jan 1;21(1):232. doi: 10.3390/s21010232.

DOI:10.3390/s21010232
PMID:33401427
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7796280/
Abstract

This paper proposes an approach to the determination of the precise location of an impact on the surface of a wind turbine blade (WTB) based on a fiber Bragg grating (FBG) and the time difference, and its effectiveness is verified by experiments. First, the strain on the WTB surface is detected with an FBG. Then, the signal is decomposed into a series of components via variational mode decomposition (VMD), and some signals with impact characteristics are chosen for reconstruction. The instant energy of the reconstructed signal is then amplified through the Teager energy operator (TEO) to identify the time difference between FBGs. Finally, the coordinate of the impact point is obtained by solving the hyperbolic mode with the time difference. The results of experiments demonstrate that the proposed approach exhibits good performance with high accuracy (97%) and low error (12.3 mm).

摘要

本文提出了一种基于光纤布拉格光栅(FBG)和时间差来确定风力涡轮机叶片(WTB)表面撞击精确位置的方法,并通过实验验证了其有效性。首先,用FBG检测WTB表面的应变。然后,通过变分模态分解(VMD)将信号分解为一系列分量,并选择一些具有撞击特征的信号进行重构。接着,通过Teager能量算子(TEO)放大重构信号的瞬时能量,以识别FBG之间的时间差。最后,通过求解具有时间差的双曲线模式得到撞击点的坐标。实验结果表明,所提出的方法具有良好的性能,精度高(97%)且误差小(12.3毫米)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/e90544af829b/sensors-21-00232-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/f149e69341d6/sensors-21-00232-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/678cf3503005/sensors-21-00232-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/919ef4df8ee3/sensors-21-00232-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/c2ac46b08ea3/sensors-21-00232-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/e90544af829b/sensors-21-00232-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/c79af98b1260/sensors-21-00232-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/14bbd47922ad/sensors-21-00232-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/9a944cd2a7e6/sensors-21-00232-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/f149e69341d6/sensors-21-00232-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/678cf3503005/sensors-21-00232-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/919ef4df8ee3/sensors-21-00232-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/c2ac46b08ea3/sensors-21-00232-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/dceef65eca1f/sensors-21-00232-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/c1fe8d741ec6/sensors-21-00232-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/10093a0108ee/sensors-21-00232-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e87/7796280/e90544af829b/sensors-21-00232-g012.jpg

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