Optic-fiber vibration sensor based on a reflected 81° tilted fiber grating integrated with a symmetrical flexible hinge

2021 ◽  
Vol 60 (10) ◽  
pp. 2886
Author(s):  
Kaijun Liu ◽  
Binbin Luo ◽  
Xue Zou ◽  
Ou Deng ◽  
Zhihua Wang ◽  
...  
2021 ◽  
Vol 33 (8) ◽  
pp. 379-382
Author(s):  
Kaijun Liu ◽  
Binbin Luo ◽  
Decao Wu ◽  
Xue Zou ◽  
Xianglong Zou ◽  
...  

2014 ◽  
Author(s):  
Satoshi Tanaka ◽  
Osamu Tsukida ◽  
Makoto Takeuchi ◽  
Shingo Tekuramori ◽  
Ryotaro Uchimura ◽  
...  

2019 ◽  
Vol 39 (8) ◽  
pp. 0806006
Author(s):  
罗彬彬 Luo Binbin ◽  
谢浪 Xie Lang ◽  
王亚杰 Wang Yajie ◽  
邹雪 Zou Xue ◽  
石胜辉 Shi Shenghui ◽  
...  

2016 ◽  
Vol 53 (6) ◽  
pp. 060601
Author(s):  
王红日 Wang Hongri ◽  
高仁喜 Gao Renxi ◽  
殷焱煊 Yin Yanxuan ◽  
付荣鹏 Fu Yongpeng ◽  
刘一 Liu Yi ◽  
...  

2012 ◽  
Vol 591-593 ◽  
pp. 1422-1427 ◽  
Author(s):  
Jian Wang

The perimeter security alarm system, with the core of vibration sensor based on FBG optical fiber invented by Wuhan University of Technology optical fiber research center, uses the changes of optical fiber grating stress wavelength to detect intrusion. As FBG wavelengths change when under stress, the intrusion detection is identified by the combination of signals time domain and frequency band domain. However, it is difficult to classify the data of signals time domain and frequency band domain because of the complexity of the actual conditions and the diversity of interference and intrusion. Therefore, applying SVM to train and process the classification features extracted from the various data acquisition can help to obtain the corresponding support vector and weighting coefficient. As a result, the effective classification of the field test data can be achieved by using SVM template method.


2020 ◽  
Vol 49 (12) ◽  
pp. 42-50
Author(s):  
邹雪 Xue ZOU ◽  
邓欧 Ou DENG ◽  
罗彬彬 Bin-bin LUO ◽  
吴德操 De-cao WU ◽  
赵明富 Ming-fu ZHAO ◽  
...  

2008 ◽  
Vol 33 (9) ◽  
pp. 1004 ◽  
Author(s):  
Tuan Guo ◽  
Alexei Ivanov ◽  
Chengkun Chen ◽  
Jacques Albert

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