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Autori: Antonić, Radovan; Vukić, Zoran; Ognjen, Kuljača
Naslov: Neuro-Fuzzy Modelling of Marine Diesel Engine Cylinder Dynamics
Izvornik: Control Applications in Marine Systems 2004: A Proceedings Volume from the IFAC Conference / Katebi, Reza ; Longhi, Sauro (ur.). - Amsterdam : Elsevier Science , 2004. 95-100 (ISBN: 978-0080441696).
Skup: IFAC Conference on Control Applications in Marine Systems
Mjesto i datum: Ancona, Italija, 07-09.07.2004.
Ključne riječi: Marine diesel engine test bed; expert knowledge; data pre-processing; fuzzy model; fuzzy clustering; neuro-fuzzy inference
Sažetak:
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.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 0036010
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika
Napomene:
IPV - IFAC Proceedings Volume



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