光纤光栅干涉传感器位移测量误差高精度校准方法
High precision calibration method for displacement measurement error of fiber bragg grating interferometric sensors
刘林 1黄利元 1肖宝森1
作者信息
- 1. 厦门大学嘉庚学院,福建漳州 363105
- 折叠
摘要
在光纤光栅干涉传感器的位移测量中,受外界的振动或电磁等环境干扰因素的影响,对传感器的测量结果造成波动或误差.为了提高光纤光栅干涉传感器位移测量的效率,保证测量的准确性,提出光纤光栅干涉传感器位移测量误差高精度校准方法.通过分析光纤光栅干涉传感器的位移测量原理,获取位移测量数据;采用小波阈值方法,对位移测量数据去噪和平滑处理;利用反向传播(Back Propagation,BP)神经网络,对去噪后位移测量数据中误差数据高精度校准.实验结果表明,所提方法在降低误差校准计算复杂度的同时,能够有效提高误差校准精度、效率和运行稳定性.
Abstract
In the displacement measurement of fiber grating interference sensor,the measurement results of the sensor will fluctuate or have errors due to the influence of environmental confounding such as external vibration or elec-tromagnetic.In order to improve the efficiency of displacement measurement using fiber Bragg grating interferometric sensors and ensure the accuracy of measurement,a high-precision calibration method for displacement measurement error of fiber Bragg grating interferometric sensors is proposed.Obtain displacement measurement data by analyzing the displacement measurement principle of fiber Bragg grating interferometric sensors;Using wavelet threshold method to denoise and smooth displacement measurement data;Using Back Propagation(BP)neural network,high-precision calibration of error data in displacement measurement data after denoising is carried out.The experimental results show that the proposed method can effectively improve the accuracy,efficiency,and operational stability of error calibration while reducing the computational complexity of error calibration.
关键词
光纤光栅传感器/位移测量误差/误差校准/小波阈值/BP神经网络Key words
fiber bragg grating sensors/displacement measurement error/error calibration/wavelet threshold/BP neural network引用本文复制引用
基金项目
福建省中青年教师教育科研项目(科技类)(JAT210630)
出版年
2024
NETL
NSTL
万方数据