Multiparameter measuring system using fiber optic sensors for hydraulic temperature, pressure and flow monitoring

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Pub Date : 2022-02-28 DOI:10.1016/j.measurement.2022.110705

Mingyao Liu, Yihang Wu, Han Song, Yao Zou, Xianshuang Shu

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引用次数: 13

Abstract

In this paper, based on the research of fiber optic sensing technology, a multiparameter measuring system for hydraulic parameter monitoring is developed and evaluated. The sensing theory, design, calibration, and installation of the proposed metal-coated fiber Bragg grating temperature sensor, fiber Bragg grating flow sensor, and Fabry-Perot pressure sensor are detailed in the paper. A special hydraulic platform is designed for system test and the parameter monitoring condition of the hydraulic platform is displayed by the graphical user interface designed by using LabVIEW. The effectiveness of the designed system is verified by analyzing and comparing the obtained data of electrical sensors and the proposed sensors installed in the hydraulic platform. Experimental results indicate that the designed system using fiber optic sensing technology can accurately detect the parameters of the hydraulic equipment, and can be potentially used for real-time detection for condition monitoring of hydraulic equipment by analyzing the characteristic parameters.

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多参数测量系统采用光纤传感器进行液压温度、压力和流量的监测

本文在研究光纤传感技术的基础上，开发并评价了一种用于水力参数监测的多参数测量系统。本文详细介绍了金属涂层光纤布拉格光栅温度传感器、光纤布拉格光栅流量传感器和Fabry-Perot压力传感器的传感原理、设计、校准和安装。设计了专用的液压平台进行系统测试，利用LabVIEW设计的图形用户界面显示液压平台的参数监测情况。通过分析和比较安装在液压平台上的电传感器的实测数据，验证了所设计系统的有效性。实验结果表明，采用光纤传感技术设计的系统能够准确地检测液压设备的参数，通过对特征参数的分析，有可能用于液压设备状态监测的实时检测。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.