scholarly journals The System of Automatic Detection of Penetration through the Protected Perimeter Based on Fiber Optic Sensors and Neural Network

2018 ◽  
Vol 18 (1) ◽  
pp. 155-162
Author(s):  
A.A. Fartukov ◽  
V.P. Shumeyko ◽  
L.S. Kazarinov
Keyword(s):  
Neural Network ◽  
Fiber Optic ◽  
Automatic Detection ◽  
Fiber Optic Sensors

Neural network processing of fiber optic sensors and sensor arrays

1990 ◽  
Author(s):  
Barry G. Grossman ◽  
Howard Hou ◽  
Ramzi H. Nassar ◽  
Anbang Ren ◽  
Michael H. Thursby
Keyword(s):  
Neural Network ◽  
Fiber Optic ◽  
Sensor Arrays ◽  
Fiber Optic Sensors ◽  
Network Processing

scholarly journals Implementation of a Load Sensitizing Bridge Spherical Bearing Based on Low-Coherent Fiber-Optic Sensors Combined with Neural Network Algorithms

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 37
Author(s):  
Jingjing Guo ◽  
Tiesuo Geng ◽  
Huaizhi Yan ◽  
Lize Du ◽  
Zhe Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Temperature Compensation ◽  
Fiber Optic ◽  
Fiber Optic Sensors ◽  
Network Algorithms ◽  
Load Sensing ◽  
The Neural Network ◽  
Spherical Bearing ◽  
Neural Network Algorithm ◽  
Set Up

Low-coherent fiber-optic sensors combined with neural network algorithms were designed to carry out a load-sensitizing spherical bearing. Four sensing fibers were wound around the outside of the pot support of the spherical bearing uniformly deployed from upper to bottom. The upper three were configured in a distributed way to respond to the applied load as a function of the three strain sensors. The bottom one was employed as a temperature compensation sensor. A loading experiment was implemented to test the performance of the designed system. The results showed that there was a hysteresis in all the three sensors between loading and unloading process. The neural network algorithm is proposed to set up a function of the three sensors, treated as a set of input vectors to establish the input-output relationship between the applied loads and the constructed input vectors, in order to overcome the hysteresis existing in each sensor. An accuracy of 6% for load sensing was approached after temperature compensation.

Nursing Movement Monitoring System Utilizing Hetero-core Fiber Optic Sensors Embedded in Medical Thin Films

2018 ◽  
Vol 138 (12) ◽  
pp. 525-532
Author(s):  
Masahiko Ito ◽  
Yuya Koyama ◽  
Michiko Nishiyama ◽  
Emi Yanagisawa ◽  
Mariko Hayashi ◽  
...  
Keyword(s):  
Thin Films ◽  
Monitoring System ◽  
Fiber Optic ◽  
Fiber Optic Sensors ◽  
Core Fiber ◽  
Movement Monitoring

Enhanced fiber optic bending senor based on convolutional neural network

2020 ◽  
Vol 28 (7) ◽  
pp. 1454-1461
Author(s):  
Zhong-wei TAN ◽  
◽  
Jing-ya YANG ◽  
Yan LIU ◽  
Shun LU ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Fiber Optic

Embedded Fiber Optic Sensors for Integral Armor

2000 ◽  
Author(s):  
Bruce K. Fink ◽  
Kelli Corona-Bittick
Keyword(s):  
Fiber Optic ◽  
Fiber Optic Sensors
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