Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
DETERMINATION OF GAS MIXTURE COMPONENTS USING FLUCTUATION ENHANCED SENSING AND THE LS-SVM REGRESSION ALGORITHM
Gdansk Univ Technol, Fac Elect Telecommun & Informat, PL-80233 Gdansk, Poland..
Gdansk Univ Technol, Fac Elect Telecommun & Informat, PL-80233 Gdansk, Poland..
Univ Rovira & Virgili, ETSE DEEEA, Dept Elect, Tarragona 43003, Spain..
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics.
Show others and affiliations
2015 (English)In: METROLOGY AND MEASUREMENT SYSTEMS, ISSN 0860-8229, Vol. XXII, no 3, 341-350 p.Article in journal (Refereed) Published
Abstract [en]

This paper analyses the effectiveness of determining gas concentrations by using a prototype WO3 resistive gas sensor together with fluctuation enhanced sensing. We have earlier demonstrated that this method can determine the composition of a gas mixture by using only a single sensor. In the present study, we apply Least-Squares Support-Vector-Machine-based (LS-SVM-based) nonlinear regression to determine the gas concentration of each constituent in a mixture. We confirmed that the accuracy of the estimated gas concentration could be significantly improved by applying temperature change and ultraviolet irradiation of the WO3 layer. Fluctuation-enhanced sensing allowed us to predict the concentration of both component gases.

Place, publisher, year, edition, pages
2015. Vol. XXII, no 3, 341-350 p.
Keyword [en]
LS-SVM algorithm, resistance gas sensor, fluctuation enhanced sensing, gas detection
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:uu:diva-265625DOI: 10.1515/mms-2015-0039ISI: 000361772200002OAI: oai:DiVA.org:uu-265625DiVA: diva2:867000
Funder
EU, FP7, Seventh Framework Programme, 267234
Available from: 2015-11-04 Created: 2015-11-02 Last updated: 2015-12-02Bibliographically approved

Open Access in DiVA

fulltext(773 kB)207 downloads
File information
File name FULLTEXT01.pdfFile size 773 kBChecksum SHA-512
61bccde8c85677c31f5c4b8da430efbe367769ab39ff705cd80133ff76d9f748eae5ce73177e60b8b03ab226ce2a07be1a1498650e47dc8bff34147011d3232e
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Granqvist, Claes Göran
By organisation
Solid State Physics
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar
Total: 207 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 736 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf