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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

Antonić, Radovan ; Vukić, Zoran ; Munitić, Ante 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-x

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

Povezanost rada

Elektrotehnika, Tehnologija prometa i transport, Informacijske i komunikacijske znanosti