A sensor networks based method for detecting mine methane

Shuai Li; Zaochun Zhang; Yiwu Ma

doi:10.1109/ICIA.2007.4295767

A sensor networks based method for detecting mine methane

Shuai Li, Zaochun Zhang, Yiwu Ma

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

2 Citations (Scopus)

Abstract

This paper describes a new technique based on sensor networks for detecting mine methane. By contrast to the traditional methane detection, it has advantages of avoiding unnecessary missed alarm, which might lead to a serious consequence. In order to reduce the complexity of numeric calculation and improve the real-time performance of detection, a radial basis function network is applied for estimating information of the methane source. Simulations reveal that this presented method can effectively avoid missed alarm which probably happens with for traditional method. The study will develop a new field for the methane detection in mine industry.

Original language	English
Title of host publication	2007 International Conference on Information Acquisition, ICIA
Pages	403-407
Number of pages	5
DOIs	https://doi.org/10.1109/ICIA.2007.4295767
Publication status	Published - 1 Dec 2007
Externally published	Yes
Event	International Conference on Information Acquisition, ICIA 2007 - Jeju City, Korea, Republic of Duration: 9 Jul 2007 → 11 Jul 2007

Conference

Conference	International Conference on Information Acquisition, ICIA 2007
Country/Territory	Korea, Republic of
City	Jeju City
Period	9/07/07 → 11/07/07

Keywords

Methane
Missed alarm
Radial basis function network
Sensor networks

ASJC Scopus subject areas

Information Systems
Information Systems and Management

More information

10.1109/ICIA.2007.4295767

Cite this

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title = "A sensor networks based method for detecting mine methane",

abstract = "This paper describes a new technique based on sensor networks for detecting mine methane. By contrast to the traditional methane detection, it has advantages of avoiding unnecessary missed alarm, which might lead to a serious consequence. In order to reduce the complexity of numeric calculation and improve the real-time performance of detection, a radial basis function network is applied for estimating information of the methane source. Simulations reveal that this presented method can effectively avoid missed alarm which probably happens with for traditional method. The study will develop a new field for the methane detection in mine industry.",

keywords = "Methane, Missed alarm, Radial basis function network, Sensor networks",

author = "Shuai Li and Zaochun Zhang and Yiwu Ma",

year = "2007",

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doi = "10.1109/ICIA.2007.4295767",

language = "English",

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AU - Li, Shuai

AU - Zhang, Zaochun

AU - Ma, Yiwu

PY - 2007/12/1

Y1 - 2007/12/1

N2 - This paper describes a new technique based on sensor networks for detecting mine methane. By contrast to the traditional methane detection, it has advantages of avoiding unnecessary missed alarm, which might lead to a serious consequence. In order to reduce the complexity of numeric calculation and improve the real-time performance of detection, a radial basis function network is applied for estimating information of the methane source. Simulations reveal that this presented method can effectively avoid missed alarm which probably happens with for traditional method. The study will develop a new field for the methane detection in mine industry.

AB - This paper describes a new technique based on sensor networks for detecting mine methane. By contrast to the traditional methane detection, it has advantages of avoiding unnecessary missed alarm, which might lead to a serious consequence. In order to reduce the complexity of numeric calculation and improve the real-time performance of detection, a radial basis function network is applied for estimating information of the methane source. Simulations reveal that this presented method can effectively avoid missed alarm which probably happens with for traditional method. The study will develop a new field for the methane detection in mine industry.

KW - Methane

KW - Missed alarm

KW - Radial basis function network

KW - Sensor networks

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U2 - 10.1109/ICIA.2007.4295767

DO - 10.1109/ICIA.2007.4295767

M3 - Conference article published in proceeding or book

SN - 1424412196

SN - 9781424412198

SP - 403

EP - 407

BT - 2007 International Conference on Information Acquisition, ICIA

T2 - International Conference on Information Acquisition, ICIA 2007

Y2 - 9 July 2007 through 11 July 2007

ER -

A sensor networks based method for detecting mine methane

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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