Signal processing of real-time monitoring system using embedded fiber optic sensors

1996 ◽  
Author(s):  
Ping Wu ◽  
Lin Kang ◽  
Youyi Lin
Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adel Abdallah ◽  
Mohamed M. Fouad ◽  
Hesham N. Ahmed

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.


Author(s):  
Shiquan Tao ◽  
Joseph C. Fanguy ◽  
Xuemei Hu ◽  
Qiangu Yan

Fiber optic sensors for monitoring moisture, temperature and trace hydrogen peroxide have been developed in DIAL/MSU. The moisture sensor responds to moisture changes from RH = 4% to RH < 95% in the tested range. The temperature sensor can sense temperature from room temperature 22 °C to 90 °C in the tested range. The hydrogen peroxide sensor can detect/monitor hydrogen peroxide in an aqueous solution down to 10 ppb. Techniques have been developed for deploying the fiber optic sensors to the gas channels and the Nafion membrane of a PEM fuel, cell. These sensors will be tested for in situ, real-time monitoring of the operation of a PEM fuel cell with a fuel cell test system developed by CAVS/MSU. The principle of the sensors and test results of the sensors will be presented.


2012 ◽  
Vol 155-156 ◽  
pp. 526-530
Author(s):  
Jian Bo Zhao

The main task is to study the CNC lathe cutting force signal on-line monitoring system design, it mainly includes the cutting force signal acquisition, real-time monitoring and subsequent processing and analysis. Cutting force signal acquisition is the use of Kistler piezoelectric sensor signal, converted into voltage signal, and through the data acquisition board, to convert analog signals into digital signals, input to the computer, the computer real-time monitoring of machining process. Signal processing is to the acquisition of signal processing and analysis, to obtain the correct dynamic cutting force signal, to verify the stability and reliability of the whole monitoring system.


2014 ◽  
Author(s):  
Rozaimi Ghazali ◽  
◽  
Asiah Mohd Pilus ◽  
Wan Mohd Bukhari Wan Daud ◽  
Mohd Juzaila Abd Latif ◽  
...  

2018 ◽  
Vol 138 (12) ◽  
pp. 525-532
Author(s):  
Masahiko Ito ◽  
Yuya Koyama ◽  
Michiko Nishiyama ◽  
Emi Yanagisawa ◽  
Mariko Hayashi ◽  
...  

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