Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Research of oxygen concentration information detecting method with LIA

Authors
Dianhong Yu, Zhen Guo, Lin Li
Corresponding Author
Dianhong Yu
Available Online November 2016.
DOI
10.2991/aest-16.2016.137How to use a DOI?
Keywords
weak signals; lock-in amplifier; oxygen concentration detection; TDLAS.
Abstract

A method of detecting weak signals by two lock-in amplifiers is introduced to detect oxygen concentration as a weak signal, in the process of detecting oxygen concentration based on TDLAS. In this paper, the working principle of lock-in amplifier is described, and the principle and characteristics of detecting weak signals with two lock-in amplifiers are analyzed. The second harmonic signal is selected as the main extraction target. By simulating and analyzing the extraction process of signal with different phase, the feasibility and importance in improving detection accuracy are verified.

Copyright
© 2016, 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 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/aest-16.2016.137
ISSN
1951-6851
DOI
10.2991/aest-16.2016.137How to use a DOI?
Copyright
© 2016, 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  - Dianhong Yu
AU  - Zhen Guo
AU  - Lin Li
PY  - 2016/11
DA  - 2016/11
TI  - Research of oxygen concentration information detecting method with LIA
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 1022
EP  - 1027
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.137
DO  - 10.2991/aest-16.2016.137
ID  - Yu2016/11
ER  -