Processing Data from Catalytic Sensors for Recognition of Hydrogen in Mixtures of Combustible Gases

T. Osipova, A. Baranov, I. Ivanov
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Abstract

In this article the possibility of determining the hydrogen concentration in a multicomponent gas mixture using the principal component analysis is investigated. Source data were obtained by a system, consisting of 8 sensors, each of which measured its own response values. It was found that, the values of the principal components form linear dependences of concentration, which are proportional to each other. At the same time, a different hydrogen concentration, pure or in a multicomponent mixture, is uniquely determined. The results showed that the principal component analysis allows both visually distinguishing sensor responses at different concentrations, and using additional mathematical operations to obtain the concentration value.
从可燃气体混合物中识别氢的催化传感器处理数据
本文研究了用主成分分析法测定多组分气体混合物中氢浓度的可能性。源数据由一个系统获得,该系统由8个传感器组成,每个传感器测量自己的响应值。结果表明,各主成分的值与浓度呈线性关系,且呈正比关系。同时,不同的氢浓度,无论是纯氢还是多组分混合物,都是唯一确定的。结果表明,主成分分析既可以直观地区分不同浓度下的传感器响应,又可以使用附加的数学运算来获得浓度值。
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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