天然气质量分析中输入参数的多准则估计

Q3 Engineering

Advances in Systems Science and Applications Pub Date : 2020-01-01 DOI:10.25728/ASSA.2020.20.4.984

I. Brokarev, S. Vaskovskii

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引用次数: 1

摘要

在本文中，我们提出了一种评估用于天然气质量分析的统计模型中的输入参数的方法。通过层次分析、折衷规划、关联分析和评估可用手段测量选定输入物理量的实际可能性，对天然气物理量进行测量，从而完成分析。同时考虑了输入参数选择时出现的问题。将所得结果与已有的模型输入参数相关分析结果进行比较，以改进所开发的天然气质量分析系统。所提出的方法被用于评估某些天然气基混合物样品的输入参数。根据多指标评价结果，选择声速、导热系数和二氧化碳浓度作为开发的天然气质量分析系统的输入参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-Criteria Estimation of Input Parameters in Natural Gas Quality Analysis

In this paper, we present a method for assessing input parameters in a statistical model used for the quality analysis of the natural gas. The analysis is done by measuring physical quantities of natural gas through the hierarchy analysis, compromise programming, correlation analysis and assessing the practical possibility of measuring selected input physical quantities by available means. The problems arising when selecting input parameters are also considered. The results are compared with the previously obtained results of the model input parameters correlation analysis in order to improve the developed system for natural gas quality analysis. The proposed method is applied to assess input parameters for certain samples of natural gas based mixtures. Based on the results of the multicriteria assessment, the speed of sound, thermal conductivity and concentration of carbon dioxide were selected as input parameters for the developed natural gas quality analysis system.

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来源期刊

Advances in Systems Science and Applications Engineering-Engineering (all)

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.