Application of least-square algorithm to dynamic data fusion of electronic nose

Mi Na Wang, Jian Hua Yang, Han Wang, Hong De Dai, Xin Hu Du

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Electronic nose system based on integrated gas sensitive sensors array and multi sensors information fuse technology can be used to identify qualitative and quantitative gas/odor. High effective recognition algorithm and simple device are keys for electronic nose used in practical conditon. Application model of least-square algorithm in simple electronic nose system is introduced. Dynamic response curve of sensor arrays is fitted using linearity least-square method. The electronic nose system forms arepository and do identify intellectually. It can identify different beverages as sprite,Qoo and greentea combining this method with the dynamic responses of electronic nose under different working temperature of sensors. Results show that preciseness ratio of recognition reaches 100%.

Original languageEnglish
Pages (from-to)580-583
Number of pages4
JournalChinese Journal of Sensors and Actuators
Volume18
Issue number3
StatePublished - Sep 2005

Keywords

  • Beverage recognition
  • Curve fitting
  • Dynamic responses
  • Electronic nose
  • Least-square

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