Paper
10 November 2016 Features extraction from the electrocatalytic gas sensor responses
Paweł Kalinowski, Łukasz Woźniak, Maria Stachowiak, Grzegorz Jasiński, Piotr Jasiński
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Proceedings Volume 10161, 14th International Conference on Optical and Electronic Sensors; 101610N (2016) https://doi.org/10.1117/12.2246780
Event: 14th International Conference on Optical and Electronic Sensors, 2016, Gdansk, Poland
Abstract
One of the types of gas sensors used for detection and identification of toxic-air pollutant is an electro-catalytic gas sensor. The electro-catalytic sensors are working in cyclic voltammetry mode, enable detection of various gases. Their response are in the form of I-V curves which contain information about the type and the concentration of measured volatile compound. However, additional analysis is required to provide the efficient recognition of the target gas. Multivariate data analysis and pattern recognition methods are proven to be useful tool for such application, but further investigations on the improvement of the sensor’s responses processing are required. In this article the method for extraction of the parameters from the electro-catalytic sensor responses is presented. Extracted features enable the significant reduction of data dimension without the loss of the efficiency of recognition of four volatile air-pollutant, namely nitrogen dioxide, ammonia, hydrogen sulfide and sulfur dioxide.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paweł Kalinowski, Łukasz Woźniak, Maria Stachowiak, Grzegorz Jasiński, and Piotr Jasiński "Features extraction from the electrocatalytic gas sensor responses", Proc. SPIE 10161, 14th International Conference on Optical and Electronic Sensors, 101610N (10 November 2016); https://doi.org/10.1117/12.2246780
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KEYWORDS
Sensors

Principal component analysis

Gas sensors

Feature extraction

Gases

Data analysis

NOx

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