A temperature compensation technique for near-infrared methane gas threshold detection
Article
Article Title | A temperature compensation technique for near-infrared methane gas threshold detection |
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ERA Journal ID | 3598 |
Article Category | Article |
Authors | Leis, John (Author) and Buttsworth, David (Author) |
Journal Title | IEEE Transactions on Industrial Electronics |
Journal Citation | 63 (3), pp. 1813-1821 |
Number of Pages | 9 |
Year | 2016 |
Place of Publication | United States |
ISSN | 0278-0046 |
1557-9948 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TIE.2015.2495292 |
Web Address (URL) | https://ieeexplore.ieee.org/document/7308039 |
Abstract | 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. |
Keywords | leak detection; natural gas industry; infrared sensors; 1f noise; optical sensors; temperature sensors; signal processing algorithms |
ANZSRC Field of Research 2020 | 400907. Industrial electronics |
400607. Signal processing | |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Computational Engineering and Science Research Centre | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3199/a-temperature-compensation-technique-for-near-infrared-methane-gas-threshold-detection
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