Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant (CROSBI ID 490063)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Antonić, Radovan ; Vukić, Zoran ; Munitić, Ante
engleski
Sensor 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 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.
Diesel engine propulsion plant; structural description; redundant information; sensor fusion; neural network
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Podaci o prilogu
574-580-x.
2003.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 17th European Simulation Multiconference
Al-Dabass, David
Nottingham: SCS-European Publishing House
Podaci o skupu
17th European Simulation Multiconference
predavanje
09.06.2003-11.06.2003
Nottingham, Ujedinjeno Kraljevstvo