Random gas mixtures for efficient gas sensor calibration
-
Published:2020-11-27
Issue:2
Volume:9
Page:411-424
-
ISSN:2194-878X
-
Container-title:Journal of Sensors and Sensor Systems
-
language:en
-
Short-container-title:J. Sens. Sens. Syst.
Author:
Baur Tobias,Bastuck Manuel,Schultealbert Caroline,Sauerwald Tilman,Schütze Andreas
Abstract
Abstract. Applications like air quality, fire detection and
detection of explosives require selective and quantitative measurements in
an ever-changing background of interfering gases. One main issue hindering
the successful implementation of gas sensors in real-world applications is
the lack of appropriate calibration procedures for advanced gas sensor
systems. This article presents a calibration scheme for gas sensors based on
statistically distributed gas profiles with unique randomized gas mixtures.
This enables a more realistic gas sensor calibration including masking
effects and other gas interactions which are not considered in classical
sequential calibration. The calibration scheme is tested with two different
metal oxide semiconductor sensors in temperature-cycled operation using
indoor air quality as an example use case. The results are compared to a
classical calibration strategy with sequentially increasing gas
concentrations. While a model trained with data from the sequential
calibration performs poorly on the more realistic mixtures, our randomized
calibration achieves significantly better results for the prediction of both
sequential and randomized measurements for, for example, acetone, benzene and
hydrogen. Its statistical nature makes it robust against overfitting and
well suited for machine learning algorithms. Our novel method is a promising
approach for the successful transfer of gas sensor systems from the
laboratory into the field. Due to the generic approach using concentration
distributions the resulting performance tests are versatile for various
applications.
Publisher
Copernicus GmbH
Subject
Electrical and Electronic Engineering,Instrumentation
Reference46 articles.
1. Anon: Directive 2004/42/EC of the European Parliament and of the Council of
21 April 2004 on the limitation of emissions of volatile organic compounds
due to the use of organic solvents in certain paints and varnishes and
vehicle refinishing products and amendi, available at:
https://eur-lex.europa.eu/eli/dir/2004/42/2019-07-26 (last access: 27 May 2020),
2004. 2. Anon: Beurteilung von Innenraumluftkontaminationen Mittels Referenz- und
Richtwerten?: Handreichung der Ad-hoc-Arbeitsgruppe der
Innenraumlufthygiene- Kommission des Umweltbundesamtes und der Obersten
Landesgesundheitsbehörden, Bundesgesundheitsblatt – Gesundheitsforschung
– Gesundheitsschutz, 50, 990–1005, https://doi.org/10.1007/s00103-007-0290-y, 2007. 3. Anon: Richtwert für Formaldehyd in der Innenraumluft,
Bundesgesundheitsblatt – Gesundheitsforschung – Gesundheitsschutz, 595,
1040–1044, https://doi.org/10.1007/s00103-016-2389-5, 2016. 4. Bajtarevic, A., Ager, C., Pienz, M., Klieber, M., Schwarz, K., Ligor, M.,
Ligor, T., Filipiak, W., Denz, H., Fiegl, M., Hilbe, W., Weiss, W., Lukas,
P., Jamnig, H., Hackl, M., Haidenberger, A., Buszewski, B., Miekisch, W.,
Schubert, J., and Amann, A.: Noninvasive detection of lung cancer by analysis
of exhaled breath, BMC Cancer, 9, 348, https://doi.org/10.1186/1471-2407-9-348, 2009. 5. Bastuck, M.: Improving the Performance of Gas Sensor Systems with Advanced
Data Evaluation, Operation, and Calibration Methods, Linköping
University Electronic Press, Linköping, 2019.
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|