Ultrasonic measurement of molar fractions in gas mixtures by orthogonal signal correction

Carlson, Johan E.; Martinsson, Pär-Erik

doi:10.1109/ultsym.2004.1417863

Cited by 2 publications

(1 citation statement)

References 8 publications

(11 reference statements)

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“…Carlson and Martisson [ 14 ] presented a technique to quantify variations in ultrasound pulse shape caused by interactions between the constituents of a two-component gas mixture as an alternative method to extract information concerning the molar fraction of a gas in a binary mixture. Additionally, Tardy et al [ 15 ] developed a dynamic thermal conductivity sensor for gas detection based on the transient thermal response of a SiC micro-plate slightly heated by a screen-printed Pt resistance.…”

Section: Introductionmentioning

confidence: 99%

Automatic Carbon Dioxide-Methane Gas Sensor Based on the Solubility of Gases in Water

Cadena-Pereda

Rivera-Muñoz

Herrera-Ruíz

et al. 2012

Sensors

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Biogas methane content is a relevant variable in anaerobic digestion processing where knowledge of process kinetics or an early indicator of digester failure is needed. The contribution of this work is the development of a novel, simple and low cost automatic carbon dioxide-methane gas sensor based on the solubility of gases in water as the precursor of a sensor for biogas quality monitoring. The device described in this work was used for determining the composition of binary mixtures, such as carbon dioxide-methane, in the range of 0–100%. The design and implementation of a digital signal processor and control system into a low-cost Field Programmable Gate Array (FPGA) platform has permitted the successful application of data acquisition, data distribution and digital data processing, making the construction of a standalone carbon dioxide-methane gas sensor possible.

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Section: Introductionmentioning

confidence: 99%

Automatic Carbon Dioxide-Methane Gas Sensor Based on the Solubility of Gases in Water

Cadena-Pereda

Rivera-Muñoz

Herrera-Ruíz

et al. 2012

Sensors

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show abstract

Improving the performance of electronic nose for wound infection detection using orthogonal signal correction and particle swarm optimization

et al. 2014

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Purpose – The purpose of this paper is to detect wound infection by electronic nose (Enose) and to improve the performance of Enose. Design/methodology/approach – Mice are used as experimental subjects. Orthogonal signal correction (OSC) is applied to preprocess the response of Enose. Radical basis function (RBF) network is used for discrimination, and the parameters in RBF are optimized by particle swarm optimization. Findings – OSC is very suitable for eliminating interference and improving the performance of Enose in wound infection detection. Research limitations/implications – Further research is required to sample wound infection dataset of human beings and to demonstrate that the Enose with proper algorithms can be used to detect wound infection. Practical implications – In this paper, Enose is used to detect wound infection, and OSC is used to improve the performance of the Enose. This widens the application area of Enose and OSC. Originality/value – The innovative concept paves the way for the application of Enose.

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Ultrasonic measurement of molar fractions in gas mixtures by orthogonal signal correction

Cited by 2 publications

References 8 publications

Automatic Carbon Dioxide-Methane Gas Sensor Based on the Solubility of Gases in Water

Automatic Carbon Dioxide-Methane Gas Sensor Based on the Solubility of Gases in Water

Improving the performance of electronic nose for wound infection detection using orthogonal signal correction and particle swarm optimization

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