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2008 | 114 | 6A | A-239-A-242
Article title

Multivariate Analysis in Gas Sensing Applications

Content
Title variants
Languages of publication
EN
Abstracts
EN
In gas sensing applications we often use sensors which have poor selectivity. Such sensors are mature, cheap devices with simple application circuits. Unfortunately, their cross sensitivity greatly restricts their usefulness when used in systems which employs univariate analysis. One method which allows to overcome this difficulty is utilization of multivariate analysis methods applied to the response from the group of such non-selective sensors. This work presents the multivariate, pattern recognition system utilized to process the response of an array of non-selective semiconductor sensors to obtain the qualitative information.
Keywords
EN
Publisher

Year
Volume
114
Issue
6A
Pages
A-239-A-242
Physical description
Dates
published
2008-12
Contributors
author
  • Institute of Physics, Department of Optoelectronics, Silesian University of Technology, Krzywoustego 2, 44-100 Gliwice, Poland
  • Institute of Physics, Department of Optoelectronics, Silesian University of Technology, Krzywoustego 2, 44-100 Gliwice, Poland
author
  • Institute of Physics, Department of Optoelectronics, Silesian University of Technology, Krzywoustego 2, 44-100 Gliwice, Poland
References
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Document Type
Publication order reference
YADDA identifier
bwmeta1.element.bwnjournal-article-appv114n6a38kz
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