| Autor: |
T. Dymerski, J. Gebicki, J. Namiesnik |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Chemical Engineering Transactions, Vol 54 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2283-9216 |
| DOI: |
10.3303/CET1654044 |
| Popis: |
The paper presents the results of investigation on classification of the ambient air samples collected in a vicinity of the LOTOS Group S.A. petroleum plant with respect to odour. The investigations were carried out with an electronic nose prototype and a commercial electronic nose of Fast GC-type – HERACLES II. The prototype was equipped with a set of six semiconductor sensors by FIGARO Co. and a photoionization sensor of PID-type. Classification of the air samples depending on the sampling point with respect to the petroleum plant was performed with linear discriminant function supported with cross-validation method. Analyses with the HERACLES II yielded over 94.2% of correct classifications of the ambient air samples. In case of the electronic nose prototype correct classification was at the level of 67.5%. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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