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Calibration of mox gas sensors in open sampling systems based on gaussian processes
Dept. of System Engineering and Automation, University of Málaga, Spain.
Örebro University, School of Science and Technology. (AASS Research Centre)ORCID iD: 0000-0003-0217-9326
Dept. of Civil Engineering, University of Málaga, Spain.
Dept. of System Engineering and Automation, University of Málaga, Spain.
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2012 (English)In: Proceedings of the IEEE Sensors Conference, 2012, IEEE conference proceedings, 2012, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Calibration of metal oxide (MOX) gas sensor for continuous monitoring is a complex problem due to the highly dynamic characteristics of the gas sensor signal when exposed to natural environment (Open Sampling System - OSS). This work presents a probabilistic approach to the calibration of a MOX gas sensor based on Gaussian Processes (GP). The proposed approach estimates for every sensor measurement a probability distribution of the gas concentration. This enables the calculation of confidence intervals for the predicted concentrations. This is particularly important since exact calibration is hard to obtain due to the chaotic nature that dominates gas dispersal. The proposed approach has been tested with an experimental setup where an array of MOX sensors and a Photo Ionization Detector (PID) are placed downwind w.r.t. the gas source. The PID is used to obtain ground truth concentration. Comparison with standard calibration methods demonstrates the advantage of the proposed approach.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2012. p. 1-4
Keywords [en]
Calibration, Estimation, Gas detectors, Microwave integrated circuits, Robot sensing systems, Training, Uncertainty
National Category
Computer Sciences Robotics
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-28845DOI: 10.1109/ICSENS.2012.6411464ISI: 000315671100417ISBN: 9781457717659 (print)OAI: oai:DiVA.org:oru-28845DiVA, id: diva2:618182
Conference
IEEE Sensors Conference, Taipei, Taiwan, October 28-31, 2012
Available from: 2013-04-26 Created: 2013-04-26 Last updated: 2022-10-26Bibliographically approved

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Lilienthal, Achim J.Trincavelli, Marco

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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