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一种杂散电流传感器中温度诱导线性双折射的消除方法。

An Elimination Method of Temperature-Induced Linear Birefringence in a Stray Current Sensor.

作者信息

Xu Shaoyi, Li Wei, Xing Fangfang, Wang Yuqiao, Wang Ruilin, Wang Xianghui

机构信息

School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.

School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.

出版信息

Sensors (Basel). 2017 Mar 9;17(3):551. doi: 10.3390/s17030551.

DOI:10.3390/s17030551
PMID:28282953
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5375837/
Abstract

In this work, an elimination method of the temperature-induced linear birefringence (TILB) in a stray current sensor is proposed using the cylindrical spiral fiber (CSF), which produces a large amount of circular birefringence to eliminate the TILB based on geometric rotation effect. First, the differential equations that indicate the polarization evolution of the CSF element are derived, and the output error model is built based on the Jones matrix calculus. Then, an accurate search method is proposed to obtain the key parameters of the CSF, including the length of the cylindrical silica rod and the number of the curve spirals. The optimized results are 302 mm and 11, respectively. Moreover, an effective factor is proposed to analyze the elimination of the TILB, which should be greater than 7.42 to achieve the output error requirement that is not greater than 0.5%. Finally, temperature experiments are conducted to verify the feasibility of the elimination method. The results indicate that the output error caused by the TILB can be controlled less than 0.43% based on this elimination method within the range from -20 °C to 40 °C.

摘要

在这项工作中,提出了一种利用圆柱形螺旋光纤(CSF)消除杂散电流传感器中温度诱导线性双折射(TILB)的方法,该光纤基于几何旋转效应产生大量圆双折射以消除TILB。首先,推导了表示CSF元件偏振演化的微分方程,并基于琼斯矩阵算法建立了输出误差模型。然后,提出了一种精确搜索方法来获取CSF的关键参数,包括圆柱形硅棒的长度和曲线螺旋的数量。优化结果分别为302毫米和11。此外,提出了一个有效因子来分析TILB的消除情况,该因子应大于7.42才能满足不大于0.5%的输出误差要求。最后,进行了温度实验以验证该消除方法的可行性。结果表明,基于该消除方法,在-20°C至40°C范围内,由TILB引起的输出误差可控制在小于0.43%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/cf2d3cba5db1/sensors-17-00551-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/35f89f2f0982/sensors-17-00551-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/a684221e32d0/sensors-17-00551-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/339b53c87b0c/sensors-17-00551-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/b33af7d6e435/sensors-17-00551-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/e1ec4b793db1/sensors-17-00551-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/dec86bb289e4/sensors-17-00551-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/e7033fb4d350/sensors-17-00551-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/cf48eb217f93/sensors-17-00551-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/79e23f24c78f/sensors-17-00551-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/cf2d3cba5db1/sensors-17-00551-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/35f89f2f0982/sensors-17-00551-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/a684221e32d0/sensors-17-00551-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/339b53c87b0c/sensors-17-00551-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/b33af7d6e435/sensors-17-00551-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/e1ec4b793db1/sensors-17-00551-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/dec86bb289e4/sensors-17-00551-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/e7033fb4d350/sensors-17-00551-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/cf48eb217f93/sensors-17-00551-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/79e23f24c78f/sensors-17-00551-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c18/5375837/cf2d3cba5db1/sensors-17-00551-g010a.jpg

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