2026-06-06T17:41:59Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/330622026-02-03T11:20:20Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
González-Monroy, Javier
author
González-Jiménez, Antonio Javier
author
Blanco-Claraco, José Luis
2024-09-24T12:10:19Z
2024-09-24T12:10:19Z
2012-10-11
https://hdl.handle.net/10630/33062
https://doi.org/10.3390/s121013664
Metal Oxide Semiconductor (MOX) gas transducers are one of the preferable technologies to build electronic noses because of their high sensitivity and low price. In this paper we present an approach to overcome to a certain extent one of their major disadvantages: their slow recovery time (tens of seconds), which limits their suitability to applications where the sensor is exposed to rapid changes of the gas concentration. Our proposal consists of exploiting a double first-order model of the MOX-based sensor from which a steady-state output is anticipated in real time given measurements of the transient state signal. This approach assumes that the nature of the volatile is known and requires a precalibration of the system time constants for each substance, an issue that is also described in the paper. The applicability of the proposed approach is validated with several experiments in real, uncontrolled scenarios with a mobile robot bearing an e-nose.
eng
Detectores
Overcoming the slow recovery of MOX gas sensors through a system modeling approach
journal article
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25fb5217d33d7b6d40f7b98f793c93c6
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2012_overcoming_slow_recovery_mox_Sensors.pdf