Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Dynamic multi-sensor operation and read-out for highly selective gas sensor systems
Linköpings universitet, Institutionen för fysik, kemi och biologi. Linköpings universitet, Tekniska fakulteten. University of Saarland, Germany.
3S GmbH, Germany.
3S GmbH, Germany.
University of Saarland, Germany.
2016 (engelsk)Inngår i: PROCEEDINGS OF THE 30TH ANNIVERSARY EUROSENSORS CONFERENCE - EUROSENSORS 2016, ELSEVIER SCIENCE BV , 2016, Vol. 168, s. 1685-1688Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We describe hardware and algorithms which enable highly selective and sensitive operation of the two gas sensor types used in the SENSIndoor project. The resistance of a metal-oxide semiconductor (MOS) type can rise above 1 G Omega in temperature cycled operation (TCO), which is measured using a logarithmic amplifier. A silicon-carbide based, gas-sensitive field-effect transistor (SiC-FET) driven with a combination of TCO and gate-bias cycled operation (GBCO) is used as second, complimentary sensor. The cyclic sensor signals exhibit distinct shape changes depending on the gas present which is captured by pattern recognition. In this study we use Linear Discriminant Analysis (LDA) for discrimination and Partial Least Squares Regression (PLSR) for quantification of ppb concentrations of target VOCs in changing ppm concentrations of interfering gases for indoor air quality assessment. (C) 2016 The Authors. Published by Elsevier Ltd.

sted, utgiver, år, opplag, sider
ELSEVIER SCIENCE BV , 2016. Vol. 168, s. 1685-1688
Serie
Procedia Engineering, ISSN 1877-7058
Emneord [en]
MOS; SiC-FET; pre-concentrator; temperature cycled operation; multivariate data analysis; regression
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-134532DOI: 10.1016/j.proeng.2016.11.490ISI: 000391641300406OAI: oai:DiVA.org:liu-134532DiVA, id: diva2:1074289
Konferanse
30th Eurosensors Conference
Tilgjengelig fra: 2017-02-15 Laget: 2017-02-15 Sist oppdatert: 2017-03-12

Open Access i DiVA

fulltext(228 kB)46 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 228 kBChecksum SHA-512
fea0cca27312e7558af36173ea0a9f3848e33e230df1666ca09c6eb28edae7c99146a24a88d2243029c7d6055cdf860dc0621a6805f76c6f9b9f998cd11d045b
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekst

Søk i DiVA

Av forfatter/redaktør
Bastuck, Manuel
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 46 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 251 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf