Napredna pretraga

Pregled bibliografske jedinice broj: 151379

Neuro-Fuzzy Modelling of Marine Diesel Engine Cylinder Dynamics


Antonić, Radovan; Vukić, Zoran; Ognjen, Kuljača
Neuro-Fuzzy Modelling of Marine Diesel Engine Cylinder Dynamics // Control Applications in Marine Systems 2004: A Proceedings Volume from the IFAC Conference / Katebi, Reza ; Longhi, Sauro (ur.).
Amsterdam: Elsevier Science, 2004. str. 95-100 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Neuro-Fuzzy Modelling of Marine Diesel Engine Cylinder Dynamics

Autori
Antonić, Radovan ; Vukić, Zoran ; Ognjen, Kuljača

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Control Applications in Marine Systems 2004: A Proceedings Volume from the IFAC Conference / Katebi, Reza ; Longhi, Sauro - 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

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

Napomena
IPV - IFAC Proceedings Volume



POVEZANOST RADA


Projekt / tema
0036010

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb