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Ultrasonic classification of gases using principal component analysis
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
Tromsø University.
2003 (English)In: 5th world congress on ultrasonics WCU 2003, Paris: Institut Biomedical des Cordeliers, Université Pierre et Marie Curie , 2003, 1129-1132 p.Conference paper, Published paper (Refereed)
Abstract [en]

On-line measurement of the energy content of natural gas is of interest for both industry and customers, since the energy content determines its monetary value. Experiments with pulsed ultrasound show that, in addition to changes in speed of sound and acoustic attenuation, there is also a change in the shape of the sound waveform. In this paper we investigate the feasibility of using Principal Component Analysis (PCA) to quantify this change in pulse shape. The principle is evaluated for Oxygen and Ethane, for different pressures and different temperatures. The results show that by using PCA, it is possible to distinguish between pulses that have propagated through Oxygen from pulses in Ethane.

Place, publisher, year, edition, pages
Paris: Institut Biomedical des Cordeliers, Université Pierre et Marie Curie , 2003. 1129-1132 p.
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-34517Local ID: 8bd87630-6201-11db-8cbe-000ea68e967bISBN: 2-9521105-0-6 (print)OAI: oai:DiVA.org:ltu-34517DiVA: diva2:1007768
Conference
World Congress on Ultrasonics : 07/09/2003 - 10/09/2003
Note
Godkänd; 2003; 20061022 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-10-19Bibliographically approved

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http://www.sfa.asso.fr/wcu2003/procs/website/articles/000078.pdf

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Martinsson, Pär-ErikCarlson, Johan
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