Senzor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant (CROSBI ID 514542)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Antonić, Radovan ; Vukić, Zoran ; Munitić, Ante
engleski
Senzor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant
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.
Diesel engine propulsion plant ; structural description ; redundant information ; sensor fusion ; neural network
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Podaci o prilogu
136-141.
2002.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 4th Middle East Symposium on Simulation and Modelling : MESM 2002
Al-Akaidi, Marwan
Erlagen: Gruner Druck GmbH
90-77039-09-0
Podaci o skupu
4th Middle East Symposium on Simulation and Modelling : MESM 2002
predavanje
28.09.2002-30.09.2002
Sharjah, Ujedinjeni Arapski Emirati