Szczegóły publikacji
Opis bibliograficzny
Hydrogen detection with a gas sensor array – processing and recognition of dynamic responses using neural networks / Patryk GWIŻDŻ, Andrzej BRUDNIK, Katarzyna ZAKRZEWSKA // Metrology and Measurement Systems : quarterly of Polish Academy of Sciences ; ISSN 2080-9050. — Tytuł poprz.: Metrologia i Systemy Pomiarowe ; ISSN: 0860-8229. — 2015 — vol. 22 no. 1, s. 3–12. — Bibliogr. s. 11–12, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 88871 |
|---|---|
| Data dodania do BaDAP | 2015-05-04 |
| DOI | 10.1515/mms-2015-0008 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Metrology and Measurement Systems |
Abstract
An array consisting of four commercial gas sensors with target specifications for hydrocarbons, ammonia, alcohol, explosive gases has been constructed and tested. The sensors in the array operate in the dynamic mode upon the temperature modulation from 350 degrees C to 500 degrees C. Changes in the sensor operating temperature lead to distinct resistance responses affected by the gas type, its concentration and the humidity level. The measurements are performed upon various hydrogen (17-3000 ppm), methane (167-3000 ppm) and propane (167-3000 ppm) concentrations at relative humidity levels of 0-75% RH. The measured dynamic response signals are further processed with the Discrete Fourier Transform. Absolute values of the dc component and the first five harmonics of each sensor are analysed by a feed-forward back-propagation neural network. The ultimate aim of this research is to achieve a reliable hydrogen detection despite an interference of the humidity and residual gases.
