Literature DB >> 15230529

Analysis of natural gas by gas chromatography reduction of correlated uncertainties by normalisation.

Andrew S Brown1, Martin J T Milton, Chris J Cowper, Gavin D Squire, Wolfram Bremser, Richard W Branch.   

Abstract

The results of gas chromatographic analysis of natural gas mixtures reveal strong correlations (Pearson correlation coefficient of >0.96) between the uncertainty of each component and variations in the ambient pressure. Although correction for ambient pressure variations can reduce this variability, normalisation of the results of each analysis using the assumption that the sum of all component amount fractions is unity provides significantly greater reductions in the uncertainty of each measured component. We show that the uncertainty in normalised components can be estimated approximately using the correlation coefficient as a measure of the correlation present in the measurements, or exactly using a full calculation of the variance/covariance (V/C) structure of the data.

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Year:  2004        PMID: 15230529     DOI: 10.1016/j.chroma.2004.04.007

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  2 in total

1.  Mixed Natural Gas Online Recognition Device Based on a Neural Network Algorithm Implemented by a FPGA.

Authors:  Tanghao Jia; Tianle Guo; Xuming Wang; Dan Zhao; Chang Wang; Zhicheng Zhang; Shaochong Lei; Weihua Liu; Hongzhong Liu; Xin Li
Journal:  Sensors (Basel)       Date:  2019-05-05       Impact factor: 3.576

2.  Design and Application of Mixed Natural Gas Monitoring System Using Artificial Neural Networks.

Authors:  Jinlei Wang; Bing Li; Bingjie Lei; Peiyuan Ma; Sai Lian; Ning Wang; Xin Li; Shaochong Lei
Journal:  Sensors (Basel)       Date:  2021-01-07       Impact factor: 3.576

  2 in total

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