All-optical fiber sensing system based on random phase encoding and volume holographic interconnection

2001 ◽  
Vol 40 (2) ◽  
pp. 160 ◽  
Author(s):  
Ching-Cherng Sun
Keyword(s):  
Optical Fiber ◽  
Random Phase ◽  
Phase Encoding ◽  
Fiber Sensing ◽  
Sensing System ◽  
Random Phase Encoding ◽  
All Optical ◽  
Optical Fiber Sensing

Distributed Raman Optical Fiber Sensing System Based on FPGA

2021 ◽  
Vol 58 (5) ◽  
pp. 0506006-506006142
Author(s):  
刘恒 Liu Heng ◽  
喻俊松 Yu Junsong ◽  
万生鹏 Wan Shengpeng ◽  
董德壮 Dong Dezhuang ◽  
熊新中 Xiong Xinzhong ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Fiber Sensing ◽  
Sensing System ◽  
Optical Fiber Sensing

scholarly journals Plastic Optical Fiber Sensing of Alcohol Concentration in Liquors

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Masayuki Morisawa ◽  
Shinzo Muto
Keyword(s):  
Optical Fiber ◽  
Fast Response ◽  
Alcohol Concentration ◽  
Novolac Resin ◽  
Sensor Head ◽  
Cladding Layer ◽  
Fiber Sensing ◽  
Sensing System ◽  
Green Led ◽  
Optical Fiber Sensing

A simple optical fiber sensing system of alcohol concentration in liquors has been studied. In this sensor head, a mixture polymer of novolac resin and polyvinylidenefluoride (PVDF) with a ratio of 9 : 1 was coated as a sensitive cladding layer on the plastic fiber core made of polystyrene-(PS-)coated polycarbonate (PC). Using this sensor head and a green LED light source, it was confirmed that alcohol concentration in several kinds of liquors from beer to whisky can easily be measured with a fast response time less than 1 minute.

scholarly journals Dynamic Responses Measured by Optical Fiber Sensor for Structural Health Monitoring

2019 ◽  
Vol 9 (15) ◽  
pp. 2956 ◽  
Author(s):  
Shiuh-Chuan Her ◽  
Shin-Chieh Chung
Keyword(s):  
Optical Fiber ◽  
Dynamic Strain ◽  
Fiber Grating ◽  
Base Excitation ◽  
Long Period ◽  
Fiber Sensing ◽  
Fbg Sensor ◽  
Sensing System ◽  
Optical Fiber Sensing ◽  
Period Fiber Grating

An optical fiber sensing system integrating a fiber Bragg grating (FBG) sensor, a long-period fiber grating (LPFG) optical filter and a photodetector is presented to monitor the dynamic response of a structure subjected to base excitation and impact loading. The FBG sensor is attached to a test specimen and connected to an LPFG filter. As the light reflected from the FBG sensor is transmitted through the long-period fiber grating filter, the intensity of the light is modulated by the wavelength, which is affected by the strain of the FBG. By measuring the intensity of the light using a photodetector, the wavelength reflected from the FBG sensor can be demodulated, thus leading to the determination of the strain in the structure. To demonstrate its effectiveness, the proposed sensing system was employed to measure the dynamic strain of a beam subjected to mechanical testing. The mechanical tests comprised three load scenarios: base excitation by a shaker at resonant frequency, impact loading by a hammer and shock test on a drop table. To monitor the dynamic strain during the test and validate the accuracy of the measurement of the FBG sensor, strain gauge was used as reference. Experimental results show good correlation between the measurements of FBG sensor and strain gauge. The present work provides a fast response and easy-to-implement optical fiber sensing system for structural health monitoring based on real-time dynamic strain measurements.

An Optical Fiber Sensing System for On-Line Measurement of Soil Properties

2011 ◽  
Vol 179-180 ◽  
pp. 1314-1317 ◽  
Author(s):  
Hai Qing Yang ◽  
Gang Lv
Keyword(s):  
Optical Fiber ◽  
Soil Properties ◽  
Prediction Models ◽  
Field Testing ◽  
Cost Ratio ◽  
Fiber Sensing ◽  
Sensing System ◽  
Line Measurement ◽  
Optical Fiber Sensing ◽  
On Line

Fast measurement of soil properties is of great value for farmland fertilizer management with the purpose of reducing environmental pollution caused by over-fertilizing and improving yield/cost ratio of land. In the study, an optical fiber sensing system was introduced. It consisted of a topsoil opener, a portable spectrophotometer (350-2500nm) and an optical fiber. Prediction models of total nitrogen (N), phosphorous (P), moisture content (MC), pH and organic matter (OM) were created in laboratory and validated by field testing. Soil samples were collected from 30 farmland blocks covering north of Zhejiang Province and south of Jiangsu Province, P.R. China. Partial least squares (PLS) regression with full cross-validation was used for calibration models building. The correlation coefficient of R2 between on-line and laboratory measurements of N, P, MC, pH and OM are 0.92, 0.78, 0.85, 0.83 and 0.76, respectively. The study shows the potential of using the optical fiber soil sensing system for next generation of precision farming.

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