A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames (2013)
- Authors:
- USP affiliated authors: FLEURY, AGENOR DE TOLEDO - EP ; MARTINS, FLAVIUS PORTELLA RIBAS - EP ; TRIGO, FLAVIO CELSO - EP
- Unidade: EP
- DOI: 10.1016/j.eswa.2013.02.008
- Subjects: FILTROS DE KALMAN; LÓGICA FUZZY; VISÃO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Expert Systems with Applications
- ISSN: 0957-4174
- Volume/Número/Paginação/Ano: v. 40, n. 12, p. 4760\20134769, Sept. 2013
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FLEURY, Agenor de Toledo e TRIGO, Flávio Celso e MARTINS, Flavius Portella Ribas. A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames. Expert Systems with Applications, v. 40, n. 12, p. 4760\20134769, 2013Tradução . . Disponível em: http://www.sciencedirect.com/science/article/pii/S0957417413001243. Acesso em: 25 abr. 2024. -
APA
Fleury, A. de T., Trigo, F. C., & Martins, F. P. R. (2013). A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames. Expert Systems with Applications, 40( 12), 4760\20134769. doi:10.1016/j.eswa.2013.02.008 -
NLM
Fleury A de T, Trigo FC, Martins FPR. A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames [Internet]. Expert Systems with Applications. 2013 ; 40( 12): 4760\20134769.[citado 2024 abr. 25 ] Available from: http://www.sciencedirect.com/science/article/pii/S0957417413001243 -
Vancouver
Fleury A de T, Trigo FC, Martins FPR. A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames [Internet]. Expert Systems with Applications. 2013 ; 40( 12): 4760\20134769.[citado 2024 abr. 25 ] Available from: http://www.sciencedirect.com/science/article/pii/S0957417413001243 - Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality
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- An inference model for combustion diagnostics in an experimental oil furnace
- Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach
Informações sobre o DOI: 10.1016/j.eswa.2013.02.008 (Fonte: oaDOI API)
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