Multi-channel fiber-optic displacement sensor based on data fusion

XIAO Shao-rong1; ZHANG Zhou-Cai2; HUANG Xin2

doi:10.3788/OPE.20132111.2764

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Multi-channel fiber-optic displacement sensor based on data fusion

更新时间：2020-08-12

- Multi-channel fiber-optic displacement sensor based on data fusion
- Optics and Precision Engineering Vol. 21, Issue 11, Pages: 2764-2770(2013)
- 作者机构：
  
  1. 南京信息工程大学物理与光电工程学院,江苏南京,210044
  2. 南京信息工程大学电子与信息工程学院,江苏南京,210044
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132111.2764
  CLC： TN253
- Received：07 May 2013，
  
  Revised：12 June 2013，
  
  Published Online：22 November 2013，
  
  Published：15 November 2013
- 稿件说明：
移动端阅览
肖韶荣, 张周财, 黄新. 基于数据融合理论的多通道光纤位移传感器[J]. 光学精密工程, 2013,21(11): 2764-2770

XIAO Shao-Rong, ZHANG Zhou-Cai, HUANG Xin. Multi-channel fiber-optic displacement sensor based on data fusion[J]. Editorial Office of Optics and Precision Engineering, 2013,21(11): 2764-2770
肖韶荣, 张周财, 黄新. 基于数据融合理论的多通道光纤位移传感器[J]. 光学精密工程, 2013,21(11): 2764-2770 DOI： 10.3788/OPE.20132111.2764.

XIAO Shao-Rong, ZHANG Zhou-Cai, HUANG Xin. Multi-channel fiber-optic displacement sensor based on data fusion[J]. Editorial Office of Optics and Precision Engineering, 2013,21(11): 2764-2770 DOI： 10.3788/OPE.20132111.2764.

摘要

基于多传感器数据融合理论，构建了一种多通道光纤位移传感器。用一根光纤作为输入通道，三根光纤作为输出通道，每两通道构建一个双通道光纤位移传感器。对不同双通道传感器输出进行数据融合处理，拓宽了传感器的测量范围。对传感器测量结果进行归一化处理，得到传感器的多条输出特性曲线；然后从获得的多条输出特性曲线中选取合适的区域作为传感器的工作区间；最后，分别采用回归分析和神经网络算法对选取的工作区间进行数据融合处理，并讨论了它们的适用范围和优缺点。实验结果表明，多通道光纤位移传感器结合适当的数据融合方法，提高了系统的测量精度和稳定性，采用径向基函数（RBF）神经网络法得到的最大相对误差小于1.0%。三个通道融合后，光纤位移传感器的动态范围扩展为双通道的1.5倍。

Abstract

A multi-channel fiber-optic displacement sensor was proposed based on the multi-sensor data fusion theory. By using a fiber as the input channel

and three fibers as the output one

every two channels constructed a two-channel fiber-optic displacement sensor. Then

the data from different two-channel fiber-optic sensors were fused to extend the measurement range of the sensor. Furthermore

the sensor measurement results were normalized to obtain the plurality of output characteristic curves of the sensor. By selecting the appropriate area from the plurality of output characteristic curves

the operation range of the sensor was determined. Finally

the data were processed by regression analysis and neural network algorithm respectively and the range of application

advantages and disadvantages of the methods were discussed. The results show that the measurement accuracy and stability have been improved. The greatest relative error by the Radial Basis Function(RBF) neural network is less than 1.0%

and the dynamic range of three channel fiber optic displacement sensor is extended to 1.5 times that of dual channel sensors with appropriate data fusion.

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references

赵勇, 李鹏生, 浦昭邦.光纤位移传感器进展及其应用[J]. 传感器技术,1999, 18(2):4-6. ZHAO Y, LI P SH, PU ZH B. Development and application of fiber-optic displacement sensor[J]. Journal of Transducer Technology,1999, 18(2):4-6.(in Chinese)[2]孙晶华, 王智元.反射式光纤位移传感器的灵敏度计算[J]. 传感器技术,1997, 16(1):26-29.SUN J H, WANG ZH Y. Sensitivity calculation of reflective type fiber-optic displacement sensor[J]. Journal of Transducer Technology, 1997, 16(1):26-29.(in Chinese)[3]苑立波,房国义.反射补偿式光纤位移传感器的理论分析[J]. 光通信技术，1993,17(4):213-217.YUAN L B, FANG G Y. The theoretical analysis of reflective compensation type fiber-optic displacement sensing probe[J]. Optical Communication Technology, 1993,17(4):213-217.(in Chinese)[4]肖韶荣. 双通道抛物线型多模光纤位移传感器输出特性[J]. 量子电子学报,1999, 16(2):186-189.XIAO SH R. Two-channel parabolic multimode fiber displacement sensor output characteristics[J]. Chinese Journal of Quantum Electronics, 1999, 16(2):186-189.(in Chinese)[5]XIAO S R. Investigation on the properties of the two-way optical fiber sensor for displacement[J]. Acta Photonica Sinica,1998,27(z1):126-129.[6]胡光辉, 刘晔, 张国林,等.双光路光纤位移传感器数据融合方法的研究[J].激光与红外,2004,34(4):315-318.HU G H, LIU Y, ZHANG G L, et al.. Research on methods of data fusion for optical fiber displacement sensor using double optical paths[J]. Laser & Infrared, 2004, 34(4): 315-318.(in Chinese)[7]肖韶荣，朱平，贲富来.光纤气压传感器特性分析[J]. 光学精密工程，2008,16(6): 1042-1047.XIAO SH R, ZHU P, BEN F L. Analysis on characteristics of optical fiber sensor for atmospheric pressure[J].Opt. Precision Eng., 2008,16(6): 1042-1047.(in Chinese)[8]何友,彭应宁.多传感器数据融合模型综述[J].清华大学学报:自然科学版,1996, 36(9):14-20.HE Y, PEN Y N. Summary of multi-sensor data fusion model[J]. Journal of Tsinghua University:Sci. &Tech., 1996, 36 (9):14-20.[9]阙瑞义,朱荣,刘鹏,等.组合热膜式流速矢量传感器[J]. 光学精密工程，2011,19(1): 103-109.QUE R Y, ZHU R, LIU P, et al.. Combined hot film anemometers for measuring flow speed vectors[J]. Opt. Precision Eng., 2011,19(1): 103-109. (in Chinese)[10]汪晓东，叶美盈.宽量程反射式光纤位移传感器的研究[J]. 中国激光,2002,29(9)：813-816.WANG X D, YE M Y. Study on reflective fiber optic sensor for displacement measurement over a wide measuring range [J]. Chinese Journal of Lasers, 2002,29(9): 813-816. (in Chinese)[11]MOODY J, DARKEN C. Fast learning in networks of locally-tuned processing units[J]. Neural Computation, 1989,1(2): 281-294.[12]AUDONE B，GIUNTA G. Multiple Linear Regression to Detect Shielding Effectiveness Degradations[C]. EMC Europe, 2008.[13]朱明星, 张德龙. RBF 网络基函数中心选取算法的研究[J]. 安徽大学学报：自然科学版, 2000, 24(1): 72-78.ZHU M X, ZHANG D L. RBF network basis function center selection algorithm [J]. Journal of Anhui University:Natural Science Edition, 2000, 24(1): 72-78. (in Chinese)

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