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Pregled bibliografske jedinice broj: 115485

Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant


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.).
Nothingham: 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 - Nothingham : SCS-European Publishing House, 2003, 574-580

Skup
17th European Simulation Multiconference

Mjesto i datum
Nottingham, Engleska, 09-11.06.2003

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


Projekti:
0171007
0171005
0036010

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Pomorski fakultet, Split

Profili:

Avatar Url Radovan Antonić (autor)

Avatar Url Ante Munitić (autor)

Avatar Url Zoran Vukić (autor)


Citiraj ovu publikaciju:

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.).
Nothingham: SCS-European Publishing House, 2003. str. 574-580 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Antonić, R., Vukić, Z. & Munitić, A. (2003) Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant. U: Al-Dabass, D. (ur.)Proceedings of the 17th European Simulation Multiconference.
@article{article, author = {Antoni\'{c}, Radovan and Vuki\'{c}, Zoran and Muniti\'{c}, Ante}, editor = {Al-Dabass, D.}, year = {2003}, pages = {574-580}, keywords = {Diesel engine propulsion plant, structural description, redundant information, sensor fusion, neural network}, title = {Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant}, keyword = {Diesel engine propulsion plant, structural description, redundant information, sensor fusion, neural network}, publisher = {SCS-European Publishing House}, publisherplace = {Nottingham, Engleska} }
@article{article, author = {Antoni\'{c}, Radovan and Vuki\'{c}, Zoran and Muniti\'{c}, Ante}, editor = {Al-Dabass, D.}, year = {2003}, pages = {574-580}, keywords = {Diesel engine propulsion plant, structural description, redundant information, sensor fusion, neural network}, title = {Sensor information fusion for the needs of fault diagnosis in marine diesel engine propulsion plant}, keyword = {Diesel engine propulsion plant, structural description, redundant information, sensor fusion, neural network}, publisher = {SCS-European Publishing House}, publisherplace = {Nottingham, Engleska} }




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