Multivariate Analysis in Gas Sensing Applications

• Authors: A. Szpakowski , C. Tyszkiewicz , T. Pustelny
• 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

02.50.Sk; 07.07.Df

Discipline

• 07.07.Df: Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
• 02.50.Sk: Multivariate analysis

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2008
• Volume: 114
• Issue: 6A
• Pages: A-239-A-242

Dates

published

2008-12

Contributors

author

A. Szpakowski

• Institute of Physics, Department of Optoelectronics, Silesian University of Technology, Krzywoustego 2, 44-100 Gliwice, Poland

author

C. Tyszkiewicz

• Institute of Physics, Department of Optoelectronics, Silesian University of Technology, Krzywoustego 2, 44-100 Gliwice, Poland

author

T. Pustelny

• Institute of Physics, Department of Optoelectronics, Silesian University of Technology, Krzywoustego 2, 44-100 Gliwice, Poland

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Identifiers

DOI

10.12693/APhysPolA.114.A-239