Neuro-Fuzzy Modelling of Marine Diesel Engine Cylinder Dynamics (CROSBI ID 497235)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Antonić, Radovan ; Vukić, Zoran ; Ognjen, Kuljača
engleski
Neuro-Fuzzy Modelling of Marine Diesel Engine Cylinder Dynamics
The practical application of some well recognized fuzzy methods and neural networks techniques to modelling marine diesel engine cylinder dynamics using real-time data and expert knowledge has been considered. The simulation was done in Matlab environment with real-time data originated from 2-stroke marine diesel propulsion engine on test bed during final testing, combined with knowledge elicited from engine experts and experienced test bed operators. Takagi-Sugeno fuzzy model has been designed based on cylinder pressure data after their clustering using fuzzy subtractive method. Model parameter tuning was inavestigated using ANFIS with combined learning algorithms: least squares and back propagation gradient descent method. The model obtained can be of practical importance in engine working regime adjustment, predicting cylinder data in faulty sensor case or adaptive threshold tuning within faults detection and identification.
Marine diesel engine test bed; expert knowledge; data pre-processing; fuzzy model; fuzzy clustering; neuro-fuzzy inference
IPV - IFAC Proceedings Volume
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
95-100-x.
2004.
objavljeno
Podaci o matičnoj publikaciji
Katebi, Reza ; Longhi, Sauro
Amsterdam: Elsevier
978-0080441696
Podaci o skupu
IFAC Conference on Control Applications in Marine Systems
predavanje
07.07.2004-09.07.2004
Ancona, Italija