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Pregled bibliografske jedinice broj: 140309

Marine diesel engine faults diagnosis based on observed symptoms and expert knowledge


Antonić, Radovan; Vukić, Zoran; Kuljača, Ognjen
Marine diesel engine faults diagnosis based on observed symptoms and expert knowledge // Proceedings of the 6th IFAC conference on Manoeuvring and Control of Marine Craft : MCMC'03 / Batlle, Joan ; Blanke, Mogens (ur.).
Girona: UdG, 2003. str. 167-172 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Marine diesel engine faults diagnosis based on observed symptoms and expert knowledge

Autori
Antonić, Radovan ; Vukić, Zoran ; Kuljača, Ognjen

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 6th IFAC conference on Manoeuvring and Control of Marine Craft : MCMC'03 / Batlle, Joan ; Blanke, Mogens - Girona : UdG, 2003, 167-172

Skup
6th IFAC Conference on Manoeuvring and Control of Marine Craft : MCMC'03

Mjesto i datum
Girona, Španjolska, 17-19.09.2003

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Fault diagnosis; fault detection; fault identification; diagnosis signals; symptoms; rule-based system; expert knowledge

Sažetak
The papers deals with two methods of fault detection and isolation in ship's propulsion diesel engine. The first diagnosis method is based on real-time diagnostic signals i.e. symptoms and their relation to faults in anextended form with tracking times of symptoms occurence. The effectiveness of this method has been evaluated with concurrently simulating two very similar engine cylinder faults. The second diagnosis method introduced in the paper based on human expert heuristic knowledge showed very good results in diagnosis the same engine fault. In both simulation examples, in a certain way, a form of integration of these two methods is used. The hybrid method based on good monitoring system and heuristic knowledge base could become more attractive in marine applications.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekt / tema
0036010

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb