Abstract
A nonlinear superposition model was proposed based on the common linear additive model the micro gas sensor array signal processing to improve the precision of quantification and identification. According to the nonlinear model, the Nonlinear Principal Component Analysis (NLPCA) was proposed to process the response signals obtained from a 4 Micro-hotplate (MHP) based gas sensor array. Com-pared with the analyzing results obtained from Principal Component Analysis (PCA), which bases on the linear additive model, the accuracy of gas component identification and concentration quantification are improved greatly.
| Original language | English |
|---|---|
| Pages (from-to) | 122-126 |
| Number of pages | 5 |
| Journal | Gongneng Cailiao yu Qijian Xuebao/Journal of Functional Materials and Devices |
| Volume | 11 |
| Issue number | 1 |
| Publication status | Published - 1 Mar 2005 |
| Externally published | Yes |
Keywords
- Gas mixture analysis
- Gas sensor array
- Nonlinear principal component analysis
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Materials Chemistry
- Electrical and Electronic Engineering