Gas mixture analysis with dynamic gas sensor array signals

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

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (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 language	English
Title of host publication	Proceedings of the Second International Symposium on Instrumentation Science and Technology
Volume	2
Publication status	Published - 1 Dec 2002
Externally published	Yes
Event	Proceedings of the second International Symposium on Instrumentation Science and Technology - Jinan, China Duration: 18 Aug 2002 → 22 Aug 2002

Conference

Conference	Proceedings of the second International Symposium on Instrumentation Science and Technology
Country/Territory	China
City	Jinan
Period	18/08/02 → 22/08/02

Keywords

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

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{fbb5b7695ea5409d8448497f887290a7,

title = "Gas mixture analysis with dynamic gas sensor array signals",

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.",

keywords = "Gas mixture analysis, Gas sensor array, Independent component analysis (ICA), Signal process",

author = "Guangfen Wei and Chan, {Philip Ching Ho} and Zhenan Tang and Jun Yu and Liding Wang",

year = "2002",

month = dec,

day = "1",

language = "English",

isbn = "7560317685",

volume = "2",

booktitle = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",

note = "Proceedings of the second International Symposium on Instrumentation Science and Technology ; Conference date: 18-08-2002 Through 22-08-2002",

}

Gas mixture analysis with dynamic gas sensor array signals. / Wei, Guangfen; Chan, Philip Ching Ho; Tang, Zhenan et al.
Proceedings of the Second International Symposium on Instrumentation Science and Technology. Vol. 2 2002.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Gas mixture analysis with dynamic gas sensor array signals

AU - Wei, Guangfen

AU - Chan, Philip Ching Ho

AU - Tang, Zhenan

AU - Yu, Jun

AU - Wang, Liding

PY - 2002/12/1

Y1 - 2002/12/1

N2 - 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.

AB - 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.

KW - Gas mixture analysis

KW - Gas sensor array

KW - Independent component analysis (ICA)

KW - Signal process

UR - http://www.scopus.com/inward/record.url?scp=0141768253&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 7560317685

VL - 2

BT - Proceedings of the Second International Symposium on Instrumentation Science and Technology

T2 - Proceedings of the second International Symposium on Instrumentation Science and Technology

Y2 - 18 August 2002 through 22 August 2002

ER -

Gas mixture analysis with dynamic gas sensor array signals

Abstract

Conference

Keywords

ASJC Scopus subject areas

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