解耦(概率)
非线性系统
海水
盐度
多项式的
光纤
二次方程
温度测量
材料科学
干扰(通信)
控制理论(社会学)
算法
计算机科学
数学
光学
工程类
物理
热力学
数学分析
控制工程
地质学
海洋学
人工智能
电信
频道(广播)
几何学
量子力学
控制(管理)
作者
Yipeng Liao,Kun Yang,X. Shi
出处
期刊:Measurement
[Elsevier]
日期:2023-04-01
卷期号:211: 112596-112596
被引量:7
标识
DOI:10.1016/j.measurement.2023.112596
摘要
Accurate measurement of temperature and salinity is an important foundation for oceanographic research. In this paper, dual fiber interferometers combined with a novel nonlinear decoupling algorithm is studied theoretically for simultaneous measurement of seawater temperature and salinity. The correlation analysis shows that there is not only a quadratic relationship between the position of interference dips and temperature, but also interaction between temperature and salinity. Therefore, the quadratic polynomial surface fitting method, containing the important interaction term, is used to build the relationship between interference dips position and both temperature and salinity. A quadratic polynomial surface-based nonlinear decoupling algorithm is developed, and the deviation of this algorithm are noticeably smaller than that of the commonly used linear decoupling algorithm. This work may offer useful reference for developing practical optical fiber seawater temperature and salinity sensors and establishing decoupling algorithms for other dual-parameter fiber-optic sensors.
科研通智能强力驱动
Strongly Powered by AbleSci AI