Analysis of odour interactions in model gas mixtures using electronic nose and fuzzy logic - Publikacja - MOST Wiedzy

Wyszukiwarka

Analysis of odour interactions in model gas mixtures using electronic nose and fuzzy logic

Abstrakt

Measurement and monitoring of air quality in terms of odour nuisance is an important problem. Although the source of these nuisances is different (e.g. wastewater treatment plants, municipal landfills), their common feature is that they are a complex mixture of odorants with different odour thresholds. An additional problem is occurrence of the odour interactions between mixture components. From a practical point of view, it would be most valuable to directly link the odour intensity with the results of analytical air monitoring. This would allow the on-line odour monitoring using electronic noses, which perform a holistic analysis of the gas mixtures composition (like olfactometric methods). The paper presents the possibility of application of fuzzy logic to determine the odour intensity and indicate odour interactions in model, five-component gas mixtures (acetone, α-pinene, formaldehyde, toluene and triethylamine) using electronic nose prototype. As the results of the studies, it was found the electronic nose prototype along with the fuzzy logic pattern recognition system can be successfully used for this application. The results obtained using fuzzy logic are consistent with sensory analysis results in 80%.

Cytowania

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Bartosz Szulczyński, Jacek Namieśnik, Jacek Gębicki. (2018). Analysis of odour interactions in model gas mixtures using electronic nose and fuzzy logic, (68), 259-264. https://doi.org/10.3303/cet1868044

Pełna treść

pobierz publikację
pobrano 3 razy

Licencja

Copyright (2018, AIDIC Servizi S.r.l.)

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Opublikowano w:
CHEMICAL ENGINEERING TRANSACTIONS strony 259 - 264,
ISSN: 2283-9216
ISSN:
2283-9216
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Szulczyński B., Namieśnik J., Gębicki J.: Analysis of odour interactions in model gas mixtures using electronic nose and fuzzy logic// CHEMICAL ENGINEERING TRANSACTIONS. -., nr. 68 (2018), s.259-264
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3303/cet1868044
Źródła finansowania:
  • Grant No. UMO-2015/19/B/ST4/02722 from the National Science Centre (Poland)

wyświetlono 10 razy

Publikacje, które mogą cię zainteresować

Meta Tagi