Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Signal recognition basing on optical fiber vibration sensor

Authors
Haiyan Xu, Zhuo Zhang, Xuewu Zhang
Corresponding Author
Haiyan Xu
Available Online February 2013.
DOI
10.2991/isccca.2013.205How to use a DOI?
Keywords
optic fiber, vibration sensors, pattern recognition
Abstract

Distributed optical fiber sensor can acquire the information of physical field along time and spatial continuous distribution. It plays an important role in long-distance oil and electricity transmission and security. In this paper, the author introduced the universal steps in triggering pattern recognition, which includes signal characteristics extracting by accurate endpoint detecting, templates establishing by training, and pattern matching. By training the samples acquired in the laboratory, three templates are established. And pattern matching had been done between templates and all the samples. The results show that, 87.5 percent of the samples are matched correctly with the triggering patterns they are belonging to.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
10.2991/isccca.2013.205How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Haiyan Xu
AU  - Zhuo Zhang
AU  - Xuewu Zhang
PY  - 2013/02
DA  - 2013/02
TI  - Signal recognition basing on optical fiber vibration sensor
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 814
EP  - 817
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.205
DO  - 10.2991/isccca.2013.205
ID  - Xu2013/02
ER  -