Studies on blind separation of gas sensor array signals

Guang Fen Wei, Zhen An Tang, Philip Ching Ho Chan, Jun Yu, Li Ding Wang, Gui Zhen Yan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Responses of a Micro-hotplate based integrated gas sensor array to CO and CH4were measured with an automated gas sensor calibration system. Combining with the blind source separation (BSS) techniques, the blind separability in gas mixture analysis was discussed. The widely used BSS approach-Independent Component Analysis (ICA) was adopted to verify the proposed method by analyzing the gas mixtures of CO and CH4. The analysis results demonstrate that BSS was an effective way to extract the information of gas components in mixtures, from which the gas concentrations can be estimated. The average relative quantification errors were 9.37% and 8.11% for CO and CH4, respectively, in the specified concentration ranges.
Original languageEnglish
Pages (from-to)55-57
Number of pages3
JournalGaodeng Xuexiao Huaxue Xuebao/Chemical Journal of Chinese Universities
Volume27
Issue number1
Publication statusPublished - 1 Jan 2006
Externally publishedYes

Keywords

  • Blind source separation
  • Gas mixture analysis
  • Gas sensor array
  • Independent component analysis

ASJC Scopus subject areas

  • General Chemistry

Fingerprint

Dive into the research topics of 'Studies on blind separation of gas sensor array signals'. Together they form a unique fingerprint.

Cite this