Artigo completo - Open Access.

Idioma principal | Segundo idioma

Predição da Emissão de Particulado Utilizando Algoritmo de Aprendizagem de Máquina

Particulate Emissions Prediction Using Machine Learning Algorithm

Dellaroza, Danilo Gomes ; Lodi, Germano Custódio ; Luersen, Marco Antônio ;

Artigo completo:

Durante a certificação de motores um dos requisitos é que o motor atenda ao limite de emissão específico de particulado no ciclo (Spec_PartCycle). Para calcular o Spec_Partcycle um processo manual é necessário, a massa impregnada no filtro de partículas é

Artigo completo:

During the engine certification process one of the requirements is that the engine meet the limit of specific particulate emissions in cycle (Spec_Partcycle). In order to calculate the Spec_Partcycle a manual process is required, the total amount of mass

Palavras-chave: -,

Palavras-chave: -,

DOI: 10.5151/simea2021-PAP06

Referências bibliográficas
  • [1] FAYYAZBAKHSH, A.; PIROUZFAR, V. Investigating the influence of additives-fuel on diesel engine performance and emissions: Analytical modeling and experimental validation. Fuel, ISSN: 0016-2361, v. 171, p. 167–77, 2016.
  • [2] USLU, S.; CELIK, M.B. Combustion and emission characteristics of isoamyl alcohol-gasoline blends in spark ignition engine. Fuel, ISSN: 0016-2361, v. 262, 2020.
  • [3] BRAZIL. Conselho Nacional do Meio Ambiente. Resolução CONAMA n. 40 Brasília – DF. Available in: http://www2.mma.gov.br/port/conama/legiabre.cfm?codlegi=591. Access: 12/12/2019.
  • [4] EUROPE UNION. Directive 1999/96/ec of the European Parliament and of the Council. Official Journal of the European Communities, L44, 1999.
  • [5] Available in: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2000:044:0001:0155:EN:PDF. Access: 05/01/2020. BURTSCHER, H.; MAJEWSKI W. A.; KHALE, I. A. PM Measurement: Collecting Methods. DieselNet Technology Guide, 2016. Available in: https://www.dieselnet.com/tech/measure_pm_col.php. Access: 15/11/2019
  • [6] BURTSCHER, H. Measurement and characteristics of combustion aerosols with special consideration of photoelectric charging and charging by flame ions. Journal of Aerosol Science, ISSN: 0021-8502, v. 23(6), p. 549–595, 1992.
  • [7] AYDINA, M.; USLUB, S.; ÇELIK, M. B. Performance and emission prediction of a compression ignition engine fueled with biodiesel-diesel blends: A combined application of ANN and RSM based optimization. Fuel, ISSN: 0016-2361, v. 269, 2020.
  • [8] LIU, B.; HU, J.; YAN, F.; TURKSON, R. F.; LIN, F. A novel optimal support vector machine ensemble model for NOX emissions prediction of a diesel engine. Measurement, ISSN: 0263-2241, v. 92, p. 183–192, 2016.
  • [9] KENANOĞLU, R.; BALTACIOĞLU, M. K.; DEMIR, M. H.; ERKINAY ÖZDEMIR, M. Performance & emission analysis of HHO enriched dual-fuelled diesel engine with artificial neural network prediction approaches. International Journal of Hydrogen Energy, ISSN: 0360-3199, 2020. In Press.
  • [10] MAASS, B.; STOBART, R.; DENG, J. Diesel engine emissions prediction using parallel neural networks. In: AMERICAN CONTROL CONFERENCE, 2009. Annals…St Louis 2009. p. 1122-27.
  • [11] YUANWANG, D. An analysis for effect of cetane number on exhaust emissions from engine with the neural
  • [12] network. Fuel, ISSN: 0016-2361, v. 81, p. 1963–1970, 2002.
  • [13] [12] ANDERSSON, J.; MAMAKOS, A.; GIECHASKIEL, B.; CARRIERO, M.; MARTINI, G.; Particle Measurement Programme (PMP) Heavy-duty Inter-laboratory Correlation Exercise (ILCE_HD) Final Report. Journal Scientic and Technical Reports, ISSN 1018-5593, 2010
  • [14] [13] GILLES L. Understanding Random Forests from theory to practice. p.221. PhD dissertation. Faculty of Applied Sciences Department of Electrical Engineering & Computer Science, Liège University, Liège, 20 Available in: https://arxiv.org/pdf/1407.7502.pdf. Access: 30/01/2020.
  • [15] [14] GÉRON A. Hands-On Machine Learning with Scikit-Learn and TensorFlow. 1 ed. USA: O’Reilly Media. 2017.
  • [16] [15] EUROPE UNION. Regulation (EC) No 595/2009 of the European Parliament and of the Council. Official Journal of the European Communities, 2009.
  • [17] Available in: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:188:0001:0013:EN:PDF
Como citar:

Dellaroza, Danilo Gomes; Lodi, Germano Custódio; Luersen, Marco Antônio; "Predição da Emissão de Particulado Utilizando Algoritmo de Aprendizagem de Máquina", p. 18-26 . In: Anais do XXVIII SIMPÓSIO INTERNACIONAL DE ENGENHARIA AUTOMOTIVA. São Paulo: Blucher, 2021.
ISSN 2357-7592, DOI 10.5151/simea2021-PAP06

últimos 30 dias | último ano | desde a publicação


downloads


visualizações


indexações