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Application of iteration technique in association with multiple regression method for identification of mixtures of gases using an integrated gas-sensor array

Authors
Journal
Sensors and Actuators B Chemical
0925-4005
Publisher
Elsevier
Publication Date
Volume
21
Issue
1
Identifiers
DOI: 10.1016/0925-4005(93)01203-g
Keywords
  • Gas Sensor Arrays
  • Iteration Technique
  • Multiple Regression Method

Abstract

Abstract This paper deals with the discrimination of gases using the responses of an integrated gas sensor. The multiple regression method is used to find the sensor parameters for different gases in training mode. In sniffing mode, these parameters are used to discriminate the gases present in the ambient using the iteration technique. These methods, i.e., the multiple regression method and iteration technique, have been successfully applied to the data set obtained in our laboratory for a mixture of carbon tetrachloride and ethyl methyl ketone exposed to a fabricated integrated gas-sensor array. The methods can effectively be used for the realization of an 'intelligent gas sensor'.

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