{"title":"从可燃气体混合物中识别氢的催化传感器处理数据","authors":"T. Osipova, A. Baranov, I. Ivanov","doi":"10.1109/MECO58584.2023.10155082","DOIUrl":null,"url":null,"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.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Processing Data from Catalytic Sensors for Recognition of Hydrogen in Mixtures of Combustible Gases\",\"authors\":\"T. Osipova, A. Baranov, I. Ivanov\",\"doi\":\"10.1109/MECO58584.2023.10155082\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":187825,\"journal\":{\"name\":\"2023 12th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 12th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO58584.2023.10155082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO58584.2023.10155082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Processing Data from Catalytic Sensors for Recognition of Hydrogen in Mixtures of Combustible Gases
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.