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Hierarchical methods to improve the performance of the SiC - FET as SO2 sensors in flue gas desulphurization system

机译:烟气脱硫系统中提高SO2传感器SiC-FET性能的分层方法。

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摘要

Experiments were performed both in the laboratory and a desulfurization pilot unit in order to improve the SiC-FET sensor performance using two-step data evaluation. In both cases, a porous Pt-gate enhancement type SiC-FET was utilized in a temperature cycled operation (TCO). Liner Discriminant Analysis (LDA) was chosen as the method for multivariate data analysis. Hierarchical methods with two-step LDA worked quite well in the laboratory tests with SO2 concentrations varied from 25-200 ppm. The same data evaluation was also applied to tests in the desulfurization pilot unit, with higher gas flow and a larger SO2 concentration range (up to 5000 ppm). The results from the SO2 quantification showed a significantly improved fit to corresponding reference instrument (FTIR) values.
机译:为了通过两步数据评估改善SiC-FET传感器的性能,在实验室和脱硫中试装置中均进行了实验。在这两种情况下,在温度循环操作(TCO)中都使用了多孔Pt栅极增强型SiC-FET。选择了线性判别分析(LDA)作为多变量数据分析的方法。采用二步LDA的分层方法在实验室测试中效果很好,SO2浓度在25-200 ppm之间变化。相同的数据评估还用于脱硫中试装置中的测试,具有更高的气流和更大的SO2浓度范围(最高5000 ppm)。 SO2定量的结果表明,其对相应参考仪器(FTIR)值的拟合度显着提高。

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