Intelligent signal processing of fiber optic sensor for simultaneous measurement of displacement and surface roughness

2002 ◽  
Author(s):  
Xiaodong Wang
Keyword(s):  
Surface Roughness ◽  
Signal Processing ◽  
Simultaneous Measurement ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Optic Sensor

scholarly journals Computational neuroscience applied in surface roughness fiber optic sensor

2019 ◽  
Vol 10 (1) ◽  
pp. 70-75 ◽  
Author(s):  
Wei He
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Computational Neuroscience ◽  
Fiber Optic ◽  
Rbf Neural Network ◽  
Fiber Optic Sensor ◽  
Bottom Surface ◽  
Optic Sensor ◽  
Arbitrary Precision ◽  
The Stability

Abstract Computational neuroscience has been widely used in fiber optic sensor signal output. This paper introduces a method for processing the Surface Roughness Fiber Optic Sensor output signals with a radial basis function neural network. The output signal of the sensor and the laser intensity signal as the light source are added to the input of the RBF neural network at the same time, and with the ability of the RBF neural network to approach the non-linear function with arbitrary precision, to achieve the nonlinear compensation of the sensor and reduction of the effect of changes in laser output light intensity at the same time. The Surface Roughness Fiber Optic Sensor adopting this method has low requirements on the stability of the output power of laser, featuring large measuring range, high accuracy, good repeatability, measuring of special surfaces such as minor area, and the bottom surface of holed etc. The measurements were given and various factors that affect the measurement were analyzed and discussed.

scholarly journals Cross-talk free and ultra-compact fiber optic sensor for simultaneous measurement of temperature and refractive index

2009 ◽  
Vol 18 (1) ◽  
pp. 141 ◽  
Author(s):  
Hae Young Choi ◽  
Gopinath Mudhana ◽  
Kwan Seob Park ◽  
Un-Chul Paek ◽  
Byeong Ha Lee
Keyword(s):  
Refractive Index ◽  
Cross Talk ◽  
Simultaneous Measurement ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Optic Sensor

Research on Fiber-Optic Strain Signal Processing Based on Demodulation Technique

2010 ◽  
Vol 44-47 ◽  
pp. 2569-2572 ◽  
Author(s):  
Xiao Wei Du ◽  
Li Rong Li
Keyword(s):  
Signal Processing ◽  
Fiber Optic ◽  
Sampling Rate ◽  
Fiber Optic Sensor ◽  
Sensor Signal ◽  
Optic Sensor ◽  
Processing Module ◽  
Sensor Probe ◽  
Signal Processing Module

A higher performance signal processing module is demanded because of the high sensitivity of fiber-optic sensor probe. Excellent signal processing module is expected have the function of restore the sensor signal and very little to the introduction of noise. In this paper, improved demodulation algorithm is proposed based on the general demodulation algorithm through changing certain parameters of the algorithm aimed to improve the quality of the signal after demodulation. The output signals of scene sensor probe is sampling, sampling data through filtering. By using the improved fiber optic sensor signal demodulation algorithm, the system can fully improve the quality of the signal after demodulation under the premise of maintains the minimum sampling rate.

Advanced methods for fiber-optic sensor signal processing

2018 ◽  
Author(s):  
Radek Martinek ◽  
Radana Kahankova ◽  
Jan Nedoma ◽  
Marcel Fajkus ◽  
Martin Novák ◽  
...  
Keyword(s):  
Signal Processing ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Sensor Signal ◽  
Optic Sensor

Fabrication of dual-parameter fiber-optic sensor by cascading FBG with FPI for simultaneous measurement of temperature and gas pressure

2019 ◽  
Vol 443 ◽  
pp. 166-171 ◽  
Author(s):  
Yinggang Liu ◽  
Danqing Yang ◽  
Yuxi Wang ◽  
Ting Zhang ◽  
Min Shao ◽  
...  
Keyword(s):  
Simultaneous Measurement ◽  
Fiber Optic ◽  
Gas Pressure ◽  
Fiber Optic Sensor ◽  
Optic Sensor
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