T. T. Sunil
ABSTRACT
Detection of hazardous gases has several commercial and industrial applications. Surface Acoustic Wave(SAW) sensors can provide chemical signatures of gases. A set of SAW sensors in conjunction with a suitably trained pattern recognition engine can work as an Electronic Nose(E-Nose) for a set of gases. For the best performance, the sensors used in the nose must have optimal responses to all the target gases. We first present a method for target gas detection from the sensed data and subsequently describe two novel candidate algorithms used for selection of a subset of sensors from a given set of sensors for an electronic nose.
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Index Terms
- Detection of target gases and optimal selection of SAW sensors for E-Nose applications
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