RT Journal Article
T1 Probabilistic gas quantification with MOX sensors in open sampling systems - a Gaussian Process approach
A1 González-Monroy, Javier
A1 Lilienthal, Achim
A1 Blanco-Claraco, José Luis
A1 Gonzalez-Jimenez, Antonio Javier
A1 Trincavelli, Marco
K1 Química
K1 Detectores
K1 Gauss, Procesos
AB Gas quantification based on the response of an array of metal oxide (MOX) gas sensors in an Open Sampling System is a complex problem due to the highly dynamic characteristic of turbulent airflow and the slow dynamics of the MOX sensors. However, many gas related applications require to determine the gas concentration the sensors are being exposed to. Due to the chaotic nature that dominates gas dispersal, in most cases it is desirable to provide, together with an estimate of the mean concentration, an estimate of the uncertainty of the prediction. This work presents a probabilistic approach for gas quantification with an array of MOX gas sensors based on Gaussian Processes, estimating for every measurement of the sensors a posterior distribution of the concentration, from which confidence intervals can be obtained. The proposed approach has been tested with an experimental setup where an array of MOX sensors and a Photo Ionization Detector (PID), used to obtain ground truth concentration, are placed downwind with respect to the gas source. Our approach has been implemented and compared with standard gas quantification methods, demonstrating the advantages when estimating gas concentrations.
PB Elsevier
YR 2013
FD 2013-06-24
LK https://hdl.handle.net/10630/34289
UL https://hdl.handle.net/10630/34289
LA eng
NO Javier G. Monroy, Achim J. Lilienthal, Jose-Luis Blanco, Javier Gonzalez-Jimenez, Marco Trincavelli, Probabilistic gas quantification with MOX sensors in Open Sampling Systems—A Gaussian Process approach, Sensors and Actuators B: Chemical, Volume 188, 2013, Pages 298-312, ISSN 0925-4005
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026