Gas mixture analysis with dynamic gas sensor array signals

Guangfen Wei, Philip Ching Ho Chan, Zhenan Tang, Jun Yu, Liding Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

A new gas mixture analysis method with dynamic sensor array signals is proposed based on the Independent Component Analysis (ICA). The array responses to gas mixture components are first extracted through ICA algorithm as the Independent Components (ICs). The independent components in response of gas mixture component are then studied as an individual sensor signals in response to a individual gas. Time-dependent signals are obtained from a micro-hotplate (MHP) based integrated gas sensor array. Samples of CO, NO2and their binary gas mixtures are chosen to analyse the sensor array signals using the ICA method. It is demonstrated that ICA could extract the independent gas components in the gas mixture. Results show that the new dynamic signal processing method is quite effective for sensor array data fusion. Such a gas sensor array is a useful device to enhance the selectivity of gas detectors.
Original languageEnglish
Title of host publicationProceedings of the Second International Symposium on Instrumentation Science and Technology
Volume2
Publication statusPublished - 1 Dec 2002
Externally publishedYes
EventProceedings of the second International Symposium on Instrumentation Science and Technology - Jinan, China
Duration: 18 Aug 200222 Aug 2002

Conference

ConferenceProceedings of the second International Symposium on Instrumentation Science and Technology
CountryChina
CityJinan
Period18/08/0222/08/02

Keywords

  • Gas mixture analysis
  • Gas sensor array
  • Independent component analysis (ICA)
  • Signal process

ASJC Scopus subject areas

  • Engineering(all)

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