Pregled bibliografske jedinice broj: 1096916
Fault Tree Analysis and Failure Diagnosis of Marine Diesel Engine Turbocharger System
Fault Tree Analysis and Failure Diagnosis of Marine Diesel Engine Turbocharger System // Journal of marine science and engineering, Special Issue Marine Power Systems (2020), 8, 1004 doi:10.3390/jmse8121004 (međunarodna recenzija, članak, znanstveni)
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Naslov
Fault Tree Analysis and Failure Diagnosis of
Marine Diesel Engine Turbocharger System
Autori
Knežević, Vlatko : Orović, Josip : Stazić, Ladislav : Čulin, Jelena
Izvornik
Journal of marine science and engineering (2077-1312) Special Issue Marine Power Systems
(2020);
8, 1004
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
reliability ; fault tree analysis ; failure diagnosis ; diesel engine turbocharger ; maintenance
Sažetak
The reliability of marine propulsion systems depends on the reliability of several sub- systems of a diesel engine. The scavenge air system is one of the crucial sub-systems of the marine engine with a turbocharger as an essential component. In this paper, the failures of a turbocharger are analyzed through the fault tree analysis (FTA) method to estimate the reliability of the system and to predict the cause of failures. The quantitative method is used for assessing the probability of faults occurring in the turbocharger system. The main failures of a scavenge air sub-system, such as air filter blockage, compressor fouling, turbine fouling (exhaust side), cooler tube blockage and cooler air side blockage, are simulated on a Wärtsilä-Transas engine simulator for a marine two-stroke diesel engine. The results obtained through the simulation can provide improvement in the maintenance plan, reliability of the propulsion system and optimization of turbocharger operation during exploitation time.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Pomorski fakultet, Split,
Sveučilište u Zadru
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus