Naslov
FAULT DETECTION AND IDENTIFICATION OF MARINE DIESEL ENGINE USING EXPERT KNOWLEDGE AND FUZZY LOGIC APROACH
(DIESEL ENGINE USING EXPERT KNOWLEDGE AND FUZZY LOGIC APROACH)

Autori
Antonić, Radovan ; Tomas, Vinko ; Kulenović, Zlatan ; Cibilić, Ante ; Golub, Ivana

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

Izvornik
Trends in the development of machinery and associated technology / Ekinović, Sabahudin ; Calvet, Joan ; Tacer, Emin - : Zenica : Faculty of Mechanical Engineering in Zenica ; Escola Tecnica Superior D'Enginyeria Industrial de Barcelona ; Bahcesehir University Istanbul, 2012

Skup
16th International research/expert conference "Treneds in the development of machinery and associated technology-TMT 2012"

Mjesto i datum
Dubai, Ujedinjeni Arapski Emirati, 10.09.2012. - 12.09.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Fault; Detection; Identification; Diesel engine; Fuzzy logic

Sažetak
Marine propulsion engine is the most important system onboard ship for ship’s successful mission. Therefore, it’s very useful to estimate its future state and availability. In this paper, one effective method for marine diesel propulsion engine faults detection and identification based on fuzzy logic, expert knowledge and experience in real conditions at sea will be presented. The faults diagnosis method is based on real-time diagnostic signals i.e. symptoms and events and their relation to faults in an extended manner with tracking process relevant variables during normal as well as faulty operation and times of symptoms and events occurrence. Engine expert knowledge and especially long time experience will be used as key decision method in fault detection and identification process. The effectiveness and power of this method has been evaluated simulating faults of engine bearings. The simulation has been done using real ship's propulsion plant simulator "Kongsberg, Full mission engine room simulator". The simulation results has been compared with expert decision in faults diagnosis. This paper represents a part of research results conducted within scientific project “New technologies in diagnosis and supported by Ministry of Science, Education and sports of the Republic of Croatia .

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport

POVEZANOST RADA