Pregled bibliografske jedinice broj: 115485
Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant
Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant // Proceedings of the 17th European Simulation Multiconference / Al-Dabass, David (ur.).
Nottingham: SCS-European Publishing House, 2003. str. 574-580 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 115485 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant
Autori
Antonić, Radovan ; Vukić, Zoran ; Munitić, Ante
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 17th European Simulation Multiconference
/ Al-Dabass, David - Nottingham : SCS-European Publishing House, 2003, 574-580
Skup
17th European Simulation Multiconference
Mjesto i datum
Nottingham, Ujedinjeno Kraljevstvo, 09.06.2003. - 11.06.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Diesel engine propulsion plant; structural description; redundant information; sensor fusion; neural network
Sažetak
Complex industrial processes like Marine Diesel Propulsion Plant (MDPP) have complex interrelations and independecies between variables and parameters. This characteristic could be used in estimating unknown or unmeasured variables from the information gathered by other measurements and sources using information fusion by means of a soft computing methods. In the paper, a structural analysis approach to identify most relevant variable interrelations, components or subsystems of MDPP with inherent redundant information has been proposed. Sensor information fusion method was chosen to use artificial neural network (ANN). The paper presents proposed ANN with structure and learning algorithms. Simulation have been carried out in Matlab/Simulink environment with engine speed estimation example.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Pomorski fakultet, Split