Hydrogen gas diffusion imaging using multiple FET type gas sensors

T. Kiwa, T. Yamaguchi, K. Tsubota, W. Naruyama, H. Yamada, K. Tsukada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Imaging of hydrogen gas concentrations were demonstrated using arrayed sensors system in the cylindrical diffusion tank-shaped simulator. The field effect transistor type hydrogen sensors with platinum gate electrode were used. The sensitivity of the sensors was around -34.1 mV/dec. and the response time was 1.2 sec. in average. By applying a sensor drive circuit to each sensor, the diffusion processes of the hydrogen gas were successfully obtained in time domain and two different processes were demonstrated using 100% hydrogen gas. Theseresults indicate that real-time monitoring of the hydrogen gas distribution can be possible. Additionally, the calibration method of the acquired data was proposed.

Original languageEnglish
Title of host publicationProceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Pages282-286
Number of pages5
DOIs
Publication statusPublished - Sep 21 2009
Event2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan
Duration: Mar 26 2009Mar 29 2009

Publication series

NameProceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

Other

Other2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
CountryJapan
CityOkayama
Period3/26/093/29/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Kiwa, T., Yamaguchi, T., Tsubota, K., Naruyama, W., Yamada, H., & Tsukada, K. (2009). Hydrogen gas diffusion imaging using multiple FET type gas sensors. In Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 (pp. 282-286). [4919287] (Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009). https://doi.org/10.1109/ICNSC.2009.4919287