Classification and Identification of Industrial Gases Based on Electronic Nose Technology

Rapid detection and identification of industrial gases is a challenging problem. They have a complex composition and different specifications. This paper presents a method based on the kernel discriminant analysis (KDA) algorithm to identify industrial gases. The smell prints of four typical industr...

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Detalles Bibliográficos
Autores principales: Li, Hui, Luo, Dehan, Sun, Yunlong, GholamHosseini, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891334/
https://www.ncbi.nlm.nih.gov/pubmed/31752238
http://dx.doi.org/10.3390/s19225033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891334/
https://www.ncbi.nlm.nih.gov/pubmed/31752238
http://dx.doi.org/10.3390/s19225033

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