A Fiber Optic Sensor for Real Time Monitoring of the Curing/cured State of Adhesives

2012 ◽  
Author(s):  
Zhang Weiwei ◽  
Chen Xiaping ◽  
Gao Yiqing ◽  
He Xingdao
Keyword(s):  
Real Time ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Real Time Monitoring ◽  
Optic Sensor

Distributed fiber-optic sensor for real-time monitoring of energized transformer cores

2017 ◽  
Author(s):  
Ping Lu ◽  
Kevin Byerly ◽  
Michael Buric ◽  
Paul Zandhuis ◽  
Chenhu Sun ◽  
...  
Keyword(s):  
Real Time ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Real Time Monitoring ◽  
Optic Sensor ◽  
Distributed Fiber Optic Sensor

scholarly journals Fiber Optic Sensor for Real-time Monitoring of Freezing–Thawing Cycle in Cryosurgery

2020 ◽  
Vol 10 (3) ◽  
pp. 1053
Author(s):  
Dimosthenis Spasopoulos ◽  
George Rattas ◽  
Archontis Kaisas ◽  
Thomas Dalagiannis ◽  
Ioannis D. Bassukas ◽  
...  
Keyword(s):  
Real Time ◽  
Optical Transmission ◽  
Fiber Optic ◽  
Expert Knowledge ◽  
Ex Vivo ◽  
Fiber Optic Sensor ◽  
Real Time Monitoring ◽  
Fiber Array ◽  
Optic Sensor ◽  
Optical Fiber Array

Cryosurgery/cryotherapy is a widely used, freezing–thawing technique for the renewal or destruction of pathological tissues by applying localized rapid cooling; however, it still relies on the subjective “expert knowledge” of the physicians without, up to now, real-time monitoring of the treatment. This work focused on assessing the depth of freezing using optical transmission and backscattering measurements from frozen/unfrozen porcine ex-vivo skin samples. An optical fiber-array sensor was subsequently developed to determine the depth of freezing and the associated kill zone during freeze–thawing cycles with sub-millimeter accuracy within the skin tissue.

Real-time monitoring of DNA hybridization and melting processes using a fiber optic sensor

2012 ◽  
Vol 23 (6) ◽  
pp. 065503 ◽  
Author(s):  
Filip Delport ◽  
Jeroen Pollet ◽  
Kris Janssen ◽  
Bert Verbruggen ◽  
Karel Knez ◽  
...  
Keyword(s):  
Real Time ◽  
Dna Hybridization ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Real Time Monitoring ◽  
Optic Sensor

Fiber Optic Sensor Development for Real-Time In-Situ Epoxy Cure Monitoring

1997 ◽  
Vol 31 (1) ◽  
pp. 87-102 ◽  
Author(s):  
Y. M. Liu ◽  
C. Ganesh ◽  
J. P. H. Steele ◽  
J. E. Jones
Keyword(s):  
Real Time ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Sensor Development ◽  
Cure Monitoring ◽  
Optic Sensor

scholarly journals Fundamental Study on the Development of Fiber Optic Sensor for Real-time Sensing of CaCO3 Scale Formation in Geothermal Water

2015 ◽  
Vol 31 (3) ◽  
pp. 177-183 ◽  
Author(s):  
Takuya OKAZAKI ◽  
Kenichiro IMAI ◽  
Shin Y. TAN ◽  
Yun T. YONG ◽  
Faidz A. RAHMAN ◽  
...  
Keyword(s):  
Real Time ◽  
Fiber Optic ◽  
Scale Formation ◽  
Geothermal Water ◽  
Fiber Optic Sensor ◽  
Fundamental Study ◽  
Optic Sensor

Low-cost real-time fiber optic sensor for intrusion detection

Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adel Abdallah ◽  
Mohamed M. Fouad ◽  
Hesham N. Ahmed
Keyword(s):  
Signal Processing ◽  
Intrusion Detection ◽  
Real Time ◽  
Fiber Optic ◽  
Reference Signal ◽  
Fiber Optic Sensors ◽  
Fiber Optic Sensor ◽  
Content Type ◽  
Intensity Modulated ◽  
Optic Sensor

Purpose The purpose of this paper is to introduce a novel intensity-modulated fiber optic sensor for real-time intrusion detection using a fiber-optic microbend sensor and an optical time-domain reflectometer (OTDR). Design/methodology/approach The proposed system is tested using different scenarios using person/car as intruders. Experiments are conducted in the lab and in the field. In the beginning, the OTDR trace is obtained and recorded as a reference signal without intrusion events. The second step is to capture the OTDR trace with intrusion events in one or multiple sectors. This measured signal is then compared to the reference signal and processed by matrix laboratory to determine the intruded sector. Information of the intrusion is displayed on an interactive screen implemented by Visual basic. The deformer is designed and implemented using SOLIDWORKS three-dimensional computer aided design Software. Findings The system is tested for intrusions by performing two experiments. The first experiment is performed for both persons (>50 kg) in the lab and cars in an open field with a car moving at 60 km/h using two optical fiber sectors of lengths 200 and 500 m. For test purposes, the deformer length used in the experiment is 2 m. The used signal processing technique in the first experiment has some limitations and its accuracy is 70% after measuring and recording 100 observations. To overcome these limitations, a second experiment with another technique of signal processing is performed. Research limitations/implications The system can perfectly display consecutive intrusions of the sectors, but in case of simultaneous intrusions of different sectors, which is difficult to take place in real situations, there will be the ambiguity of the number of intruders and the intruded sector. This will be addressed in future work. Suitable and stable laser power is required to get a suitable level of backscattered power. Optimization of the deformer is required to enhance the sensitivity and reliability of the sensor. Practical implications The proposed work enables us to benefit from the ease of implementation and the reduced cost of the intensity-modulated fiber optic sensors because it overcomes the constraints that prevent using the intensity-modulated fiber optic sensors for intrusion detection. Originality/value The proposed system is the first time long-range intensity-modulated fiber optic sensor for intrusion detection.

Kilometer-Long Optical Fiber Sensor for Real-Time Railroad Infrastructure Monitoring to Ensure Safe Train Operation

2015 ◽  
Author(s):  
Yi Bao ◽  
Genda Chen ◽  
Weina Meng ◽  
Fujian Tang ◽  
Yizheng Chen
Keyword(s):  
Real Time ◽  
Spatial Resolution ◽  
Strain Distribution ◽  
Fiber Optic ◽  
Gage Length ◽  
Fiber Optic Sensor ◽  
Sensor Deployment ◽  
Small Scale ◽  
Distributed Sensors ◽  
Optic Sensor

This study is aimed to develop a real-time safety monitoring of kilometer-long joint rails using a distributed fiber optic sensor. The sensor measures the distribution of Brillouin frequency shift along its length with pulse pre-pump Brillouin optical time domain analysis (PPP-BOTDA). The measurement distance and spatial resolution can be up to 25 km and 2 cm, respectively. The fiber optic sensor was first characterized and calibrated for distributed strain and temperature measurement, and then instrumented on a small-scale joint rail-like specimen in laboratory. The specimen was loaded at room temperature, and its strain distribution along the sensor was measured using a Neubrescope with high accuracy and spatial resolution. Given a gage length, the joint open change was determined and visibly identified from the measured strain distribution. Finally, an implementation plan of distributed sensors on a railway is introduced, including sensor deployment, sensor repair when broken, and cost analysis. The gage length at a crack is an important parameter in sensor deployment and investigated using finite element analysis. The results indicate that the distributed sensor can be used successfully to monitor the strain and temperature distributions in joint rails.

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