Prediction of molar fractions in two-component gas mixtures using pulse-echo ultrasound and PLS regression

Author

Carlson, Johan E. ; Carlson, Rolf

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Lulea Univ. of Technol., Sweden

Volume

53

Issue

3

fYear

2006

fDate

3/1/2006 12:00:00 AM

Firstpage

606

Lastpage

613

Abstract

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.

Keywords

echo; gas mixtures; least squares approximations; regression analysis; PLS regression; biogas; ethane; molar fraction; molar fractions; natural gas; partial least squares regression; principal component regression; pulse-echo ultrasound; spectral data; two-component gas mixtures; Acoustic propagation; Attenuation; Energy measurement; Gases; Natural gas; Physics; Predictive models; Pulse measurements; Ultrasonic imaging; Ultrasonic variables measurement;

fLanguage

English

Journal_Title

Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on

Publisher

ieee

ISSN

0885-3010

Type

jour

DOI

10.1109/TUFFC.2006.1610569

Filename

1610569