Sohrab Shojaei Khatouni, Sven Zakowski, Reza Hosseini Vedad, Mustafa Masjedi, Akram Askar, Jan Christian Eli Ewald, H. Trieu
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引用次数: 0
摘要
摘要本文介绍了基于嵌入二氧化硅单模光纤 (SMF) 的多个光纤布拉格光栅 (FBG) 星群的四种传感器的开发和评估,用于同时测量压力、温度和弯曲曲率。我们应用了尺寸和材料变化--包括纤芯、包层和涂层尺寸;涂层材料;以及 FBG 的数量和排列--来优化反射信号响应并提高信息密度。采用自举法聚合决策树来评估传感器信号。结果表明,调整包层与涂层的比例可显著提高压力和弯曲预测性能。此外,还制作了两个组合式 FBG,以形成光纤布拉格光栅法布里-佩罗干涉仪,从而能够检测曲率,均方根误差 (RMSE) 为 0.0034 L mm-1 (R2=1),轴向压力 RMSE 为 0.0564 bar (R2=0.99),温度 RMSE 为 0.0265 °C (R2=1)。在撰写本报告时,还没有一种商用仪器可以同时进行这些测量。
Concatenated Bragg grating fiber-optic sensors for simultaneous measurement of curvature, temperature, and axial pressure
Abstract. This paper presents the development and evaluation of four sensors based on multiple fiber Bragg grating (FBG) constellations embedded in a silicon dioxide single-mode fiber (SMF) for simultaneous measurement of pressure, temperature, and bending curvature. We applied dimension and material variations – including core, cladding, and coating dimensions; coating material; and the number and arrangement of the FBGs – to optimize the reflected signal response and increase information density. A bootstrap-aggregated ensemble of decision trees was used to evaluate the sensor signal. The results show that adjusting the cladding-to-coating ratio led to significant improvements in pressure and bending prediction performance. Additionally, two combined FBGs were fabricated to form a fiber Bragg grating Fabry–Pérot interferometer, which enabled the detection of curvature with a root-mean-square error (RMSE) of 0.0034 L mm−1 (R2=1), axial pressure with an RMSE of 0.0564 bar (R2=0.99), and temperature with an RMSE of 0.0265 °C (R2=1). At the time of writing, there is no commercially available instrument that can perform these measurements simultaneously.
期刊介绍:
Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.