Nonlinear PCA based micro gas sensor array signal processing

Guang Fen Wei; Zhen An Tang; Jun Yu; Philip Ching Ho Chan; Li Ding Wang

Nonlinear PCA based micro gas sensor array signal processing

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

Research output: Journal article publication › Journal article › Academic research › peer-review

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

Cite this

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title = "Nonlinear PCA based micro gas sensor array signal processing",

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.",

keywords = "Gas mixture analysis, Gas sensor array, Nonlinear principal component analysis",

author = "Wei, {Guang Fen} and Tang, {Zhen An} and Jun Yu and Chan, {Philip Ching Ho} and Wang, {Li Ding}",

year = "2005",

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T1 - Nonlinear PCA based micro gas sensor array signal processing

AU - Wei, Guang Fen

AU - Tang, Zhen An

AU - Yu, Jun

AU - Chan, Philip Ching Ho

AU - Wang, Li Ding

PY - 2005/3/1

Y1 - 2005/3/1

N2 - 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.

AB - 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.

KW - Gas mixture analysis

KW - Gas sensor array

KW - Nonlinear principal component analysis

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M3 - Journal article

VL - 11

SP - 122

EP - 126

JO - Journal of Functional Materials and Devices

JF - Journal of Functional Materials and Devices

SN - 1007-4252

IS - 1

ER -

Nonlinear PCA based micro gas sensor array signal processing

Abstract

Keywords

ASJC Scopus subject areas

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