A temperature compensation technique for near-infrared methane gas threshold detection

Leis, John and Buttsworth, David (2016) A temperature compensation technique for near-infrared methane gas threshold detection. IEEE Transactions on Industrial Electronics, 63 (3). pp. 1813-1821. ISSN 0278-0046


Methane is the primary constituent of natural gas, and is used in many industrial processes. Detection of the presence of methane is important, especially before it reaches explosive concentrations. Earlier sensor types are based on catalytic adsorption (which may limit the sensor lifetime) at elevated temperatures (requiring additional power, and possibly compromising safety). Recently, optical sensors based on infrared absorption by hydrocarbon molecules have become an important research focus. One unsolved problem when using solid-state infrared sources is that of optical flux variation due to heating. This paper introduces a novel power compensation approach for infrared LEDs employed in gas detection, which accounts for variations in the optical flux of the source. The contribution of the paper is threefold. First, we propose the idea of compensating for emitted infrared flux by means of pulsed junction voltage measurement, and explain why this is effective. Second, we introduce a compensation algorithm which shows how to take advantage of this concept. Third, experimental results demonstrate that the discrimination algorithm is at least 6 times better than the uncompensated measurements. The convergence of the algorithm results in a stabilized measurement in less than one second.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 15 Jun 2016 05:46
Last Modified: 03 Jan 2018 05:04
Uncontrolled Keywords: leak detection; natural gas industry; infrared sensors; 1f noise; optical sensors; temperature sensors; signal processing algorithms
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090603 Industrial Electronics
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
Socio-Economic Objective: B Economic Development > 86 Manufacturing > 8615 Instrumentation > 861501 Industrial Instruments
Identification Number or DOI: 10.1109/TIE.2015.2495292
URI: http://eprints.usq.edu.au/id/eprint/27833

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