Pregled bibliografske jedinice broj: 231916
Senzor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant
Senzor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant // Proceedings of the 4th Middle East Symposium on Simulation and Modelling : MESM 2002 / Al-Akaidi, Marwan (ur.).
Erlagen: Gruner Druck GmbH, 2002. str. 136-141 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 231916 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Senzor 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 4th Middle East Symposium on Simulation and Modelling : MESM 2002
/ Al-Akaidi, Marwan - Erlagen : Gruner Druck GmbH, 2002, 136-141
ISBN
90-77039-09-0
Skup
4th Middle East Symposium on Simulation and Modelling : MESM 2002
Mjesto i datum
Sharjah, Ujedinjeni Arapski Emirati, 28.09.2002. - 30.09.2002
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 interdependencies 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 identifying most relevant variables interrelations, components or subsystems of MDPP with inherent redundant information has been proposed. Sensor information fusion method was chosen to be using artificial neural networks (ANN). The paper presents proposed ANN with structure and learning algorithms. Simulation have been carried out in Matlab-Simulink environment wit engine speed estimation example.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
ISBN: 90-77039-09-0
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Pomorski fakultet, Split