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Prediction of molar fractions in two-component gas mixtures using pulse-echo ultrasound and PLS regression
LuleƄ University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Department of Chemistry, University of Tromsoe.
2006 (English)In: IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, ISSN 0885-3010, E-ISSN 1525-8955, Vol. 53, no 3, 606-613 p.Article in journal (Refereed) Published
Abstract [en]

The composition, and thus the energy content and monetary value of natural gas and biogas, vary considerably depending on the source. Present energy measurement techniques are riot suitable for online use. We show with experiments on mixtures of ethane (C/sub 2/H/sub 6/) and oxygen (O/sub 2/) how partial least squares regression (PLSR) can be used to predict the molar fraction of ethane in the mixtures, given spectral data from ultrasonic pulse-echo measurements. The PLSR technique is compared with the standard principal component regression (PCR), and we show that PLSR yields better predictive performance.

Place, publisher, year, edition, pages
2006. Vol. 53, no 3, 606-613 p.
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-15241DOI: 10.1109/TUFFC.2006.1610569Local ID: ebd71e30-6cd1-11db-83c6-000ea68e967bOAI: diva2:988215
Validerad; 2006; 20060905 (ysko)Available from: 2016-09-29 Created: 2016-09-29Bibliographically approved

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