Skip to Main content Skip to Navigation
Journal articles

A New Gases Identifying Method With MOX Gas Sensors Using Noise Spectroscopy

Abstract : Gas sensing techniques are often required to not only be sensitive and portable but also to be able to identify gases. In this paper, we describe and demonstrate a new gas identification approach based on noise spectroscopy. By using the model of the gas sensor noise developed in our previous work, we calculate the exact theoretical expression of the first derivative of the power spectral density of the gas sensor noise, and we show that there is a correlation between this expression and the nature of the detected gas. This theoretical result is argued by some experimental results performed on a metal oxide gas sensor exposed to various gases. The new principle holds prospects for finding powerful method for the identification of gases.
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://hal-amu.archives-ouvertes.fr/hal-02114915
Contributor : Jean-Luc Seguin <>
Submitted on : Tuesday, April 30, 2019 - 12:02:25 PM
Last modification on : Thursday, May 2, 2019 - 4:17:48 PM

Identifiers

Collections

Citation

Sami Gomri, Thierry Contaret, J. Seguin. A New Gases Identifying Method With MOX Gas Sensors Using Noise Spectroscopy. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2018, 18 (16), pp.6489-6496. ⟨10.1109/JSEN.2018.2850817⟩. ⟨hal-02114915⟩

Share

Metrics

Record views

86

Files downloads

400