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Investigating the feasibility of using principal component analysis for ultrasonic classification of gas mixtures
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2003 (English)In: Proceedings, 2003 IEEE Ultrasonics Symposium: October 5 - 8, 2003, Hilton Hawaiian Village, Honolulu, Hawaii ; an international symposium / [ed] Donald E. Yuhas, Piscataway, NJ: IEEE Communications Society, 2003, 1396-1399 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 pure oxygen, pure ethane, and mixtures of the two, for different pressures. The results show that by using PCA, it is possible to distinguish between pulses that have propagated through oxygen from pulses in ethane and mixtures of the two.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2003. 1396-1399 p.
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-31891DOI: 10.1109/ULTSYM.2003.1293164Local ID: 635a09b0-547a-11db-9592-000ea68e967bISBN: 0-7803-7922-5 (print)OAI: oai:DiVA.org:ltu-31891DiVA: diva2:1005125
Conference
IEEE Ultrasonics Symposium : 05/10/2003 - 08/10/2003
Note
Godkänd; 2003; 20061005 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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