Self-identification algorithm for zeolite-based thermal capacity gas sensor

Abstract : We demonstrate a new operation mode of thermal gas sensor based on thermal capacity extraction with identification algorithm. The system is a silicon microstructure covered with zeolites operated at constant temperature while stimulated by heat pseudo-random sequence. The proposed detection principle is demonstrated at room temperature and atmospheric pressure through the detection of gas water molecules with an hydrophilic FAU-type zeolite coating. The identification algorithm is a continuous-time closed-loop identification algorithm based on the instrumental variable principle.
Type de document :
Article dans une revue
Microsystem Technologies, Springer Verlag, In press, 〈10.1007/s00542-018-3883-5〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01810620
Contributeur : Maxime Harnois <>
Soumis le : mercredi 24 octobre 2018 - 10:34:47
Dernière modification le : jeudi 7 février 2019 - 17:31:19
Document(s) archivé(s) le : vendredi 25 janvier 2019 - 13:33:37

Fichier

Harnois - Self-identification ...
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

M. Pouliquen, M. Denoual, C. Jorel, C. Radu, D. Robbes, et al.. Self-identification algorithm for zeolite-based thermal capacity gas sensor. Microsystem Technologies, Springer Verlag, In press, 〈10.1007/s00542-018-3883-5〉. 〈hal-01810620〉

Partager

Métriques

Consultations de la notice

169

Téléchargements de fichiers

12