Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering

Design of The SiCN Temperature Sensor Detecting System Based on LabVIEW

Authors
Tianli Li, Junli Xu, Gang Xu, Donghui Zhou, Yuansi Chen
Corresponding Author
Tianli Li
Available Online April 2016.
DOI
10.2991/icemie-16.2016.24How to use a DOI?
Keywords
the SiCN temperature sensor; perturbation method; echo signal; signal analysis
Abstract

The SiCN temperature sensor is a passive wireless sensor cavity, which uses SiCN ceramic as dielectric resonator, the material has some advantages such as thermal shock, corrosion and oxidation resistance, etc. Through the analysis of resonator sensor modeling, uses the theory of weak-disturbance modifying measuring, and uses the NI Company of the PXIe-5644R vector signal transceiver (VST), circulator, waveguide and high-frequency devices, the paper designs a SiCN temperature sensor detection system based on LabVIEW. The PC displays processing analysis and storages the sensor signal, so as to measure the characteristics of the sensor. The system can detect a variety of models of the sensor, and has a strong ability to upgrade and expand.

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 Electrical, Mechanical and Industrial Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-182-7
ISSN
2352-5401
DOI
10.2991/icemie-16.2016.24How 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  - Tianli Li
AU  - Junli Xu
AU  - Gang Xu
AU  - Donghui Zhou
AU  - Yuansi Chen
PY  - 2016/04
DA  - 2016/04
TI  - Design of The SiCN Temperature Sensor Detecting System Based on LabVIEW
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 96
EP  - 99
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.24
DO  - 10.2991/icemie-16.2016.24
ID  - Li2016/04
ER  -