Temperature-compensated fiber directional-bend sensor based on a sandwiched MMF–PMPCF structure

2021 ◽  
Vol 60 (2) ◽  
pp. 433
Author(s):  
Dingyi Feng ◽  
Biqiang Jiang ◽  
Yajun Jiang ◽  
Jianlin Zhao
Keyword(s):  
2012 ◽  
Vol 7 (1) ◽  
pp. 15-22
Author(s):  
Simon Kibben ◽  
Miron Kropp ◽  
Gerrit Dumstorff ◽  
Michael Koerdt ◽  
Walter Lang ◽  
...  
Keyword(s):  

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

1997 ◽  
Vol 4 (3) ◽  
pp. 187-195 ◽  
Author(s):  
W. P. Wang ◽  
T. H. Hwang ◽  
E. Y. Shu ◽  
M. H. Vartanian ◽  
R. A. Ridilla

2014 ◽  
Vol 889-890 ◽  
pp. 825-828 ◽  
Author(s):  
Shuo Ding ◽  
Xiao Heng Chang

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.


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

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