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气体传感器阵列信号的盲分离研究
Studies on Blind Separation of Gas Sensor Array Signals
【Abstract】 Responses of a Micro-hotplate based integrated gas sensor array to CO and CH4 were measured with an automated gas sensor calibration system.Combining with the blind source separation(BSS) techniques,the blind separability in gas mixture analysis was discussed.The widely used BSS approach-Independent Component Analysis(ICA) was adopted to verify the proposed method by analyzing the gas mixtures of CO and CH4.The analysis results demonstrate that BSS was an effective way to extract the information of gas components in mixtures,from which the gas concentrations can be estimated.The average relative quantification errors were 9.37% and 8.11% for CO and CH4,respectively,in the specified concentration ranges.
【关键词】 盲信号分离;
气体传感器阵列;
混合气体分析;
独立分量分析法;
【Key words】 Blind source separation; Gas sensor array; Gas mixture analysis; Independent component analysis;
【Key words】 Blind source separation; Gas sensor array; Gas mixture analysis; Independent component analysis;
【基金】 国家自然科学基金(批准号:59995550-5,90207003);国家“八六三”计划项目(批准号:2003AA404180)资助
- 【文献出处】 高等学校化学学报 ,Chemical Journal of Chinese Universities , 编辑部邮箱 ,2006年01期
- 【分类号】TP212
- 【被引频次】8
- 【下载频次】271