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Selectivity Enhancement for a TemperatureModulated Electronic Nose using Phase Space andDynamic Moments
Örebro University, School of Science and Technology.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The present work describes an algorithm to enhance selectivity of metal oxide

(MOX) gas sensors. The main objective is to improve gas discrimination

performance of MOX sensor using a temperature modulation combined with

phase space method. Our aim is to achieve a very good gas discrimination performance

based on a fragment of sensor signal, rather than using the response

of sensor for entire modulation signal.

The basic principle behind this thesis work is that investigating in sensor

response and extracting a segment with high class separability from a full modulation

cycle of sensor response. The fragment of sensor signal is obtained by

variable sliding window. A segment that gives more separable classes is taken

for discriminating between a set of given analytes. In this work we demonstrate

the developed algorithm with a single, commercially available MOX sensor, Figaro

TGS 2620, which is temperature modulated with a sinusoidal waveform.

Place, publisher, year, edition, pages
2012. , p. 79
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-26400ISRN: ORU-NAT/DAT-AS-2012/0007--SEOAI: oai:DiVA.org:oru-26400DiVA, id: diva2:566733
Subject / course
Computer Engineering
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-11-07 Created: 2012-11-09 Last updated: 2018-01-12Bibliographically approved

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CiteExportLink to record
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  • apa
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