Characteristics of bend sensor based on two-notch Mach–Zehnder fiber interferometer

2012 ◽  
Vol 18 (6) ◽  
pp. 509-512 ◽  
Author(s):  
Yinping Miao ◽  
Kailiang Zhang ◽  
Bo Liu ◽  
Wei Lin ◽  
Jianquan Yao
Keyword(s):  
Bend Sensor

scholarly journals Bend sensor based on fibreoptics and concept for a compact evaluation unit

2012 ◽  
Vol 7 (1) ◽  
pp. 15-22
Author(s):  
Simon Kibben ◽  
Miron Kropp ◽  
Gerrit Dumstorff ◽  
Michael Koerdt ◽  
Walter Lang ◽  
...  
Keyword(s):  
Bend Sensor

Directional Bend Sensor Based on Re-Grown Tilted Fiber Bragg Grating

2010 ◽  
Vol 28 (18) ◽  
pp. 2681-2687 ◽  
Author(s):  
Li-Yang Shao ◽  
Lingyun Xiong ◽  
Chengkun Chen ◽  
Albane Laronche ◽  
Jacques Albert
Keyword(s):  
Fiber Bragg Grating ◽  
Bragg Grating ◽  
Bend Sensor

Fiber optic bend sensor for in-process monitoring of polymeric composites

1997 ◽  
Vol 4 (3) ◽  
pp. 187-195 ◽  
Author(s):  
W. P. Wang ◽  
T. H. Hwang ◽  
E. Y. Shu ◽  
M. H. Vartanian ◽  
R. A. Ridilla
Keyword(s):  
Process Monitoring ◽  
Fiber Optic ◽  
Polymeric Composites ◽  
Bend Sensor

Application of Improved BP Neural Networks Based on LM Algorithm in Characteristic Curve Fitting of Fiber-Optic Micro-Bend Sensor

2014 ◽  
Vol 889-890 ◽  
pp. 825-828 ◽  
Author(s):  
Shuo Ding ◽  
Xiao Heng Chang
Keyword(s):  
Fiber Optic ◽  
Characteristic Curve ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Testing System ◽  
Input And Output ◽  
Key Factor ◽  
Simulation Results ◽  
Lm Algorithm ◽  
Bend Sensor

As a key factor in a testing system, sensor nonlinearity has always been the study focus in the field of engineering and techniques. In order to accurately reflect the practical characteristics of a fiber-optic micro-bend sensor, Levenberg-Marguardt (LM) algorithm is used to optimize the correction of the weight values of standard back propagation neural network (BPNN). The learning process of improved BPNN based on LM algorithm (LM-BPNN) is also illustrated mathematically, and LM-BPNN is applied in fitting the input and output characteristic curve of a fiber-optic micro-bend sensor. The simulation results show that LM-BPNN is superior both in its convergence rate and fitting precision over standard BPNN.

scholarly journals Ultra-high-sensitivity two-dimensional bend sensor

2006 ◽  
Vol 42 (9) ◽  
pp. 520 ◽  
Author(s):  
G.A. Cranch ◽  
G.M.H. Flockhart ◽  
W.N. MacPherson ◽  
J.S. Barton ◽  
C.K. Kirkendall
Keyword(s):  
High Sensitivity ◽  
Two Dimensional ◽  
Bend Sensor
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