Mate Jurjević

Prof. Dr. Mate Jurjević


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2019 in Tehnicki vjesnik - Technical Gazette
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Mladen BošnjakovićMladen Bošnjaković
Mladen Bošnjaković
MSMarinko Stojkov
Marinko Stojkov
MJMate Jurjević
Mate Jurjević
Today, there is a growing awareness of the need for environmental protection and a healthy ecological environment. Given the growing popularity of renewable energy sources, they should be familiar with their environmental impact. Each...

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MJMate Jurjević
Mate Jurjević
The aim of this research is to devise a continuous simulation model for predicting ship crane failures to increase their reliability and reduce unplanned downtime during cargo loading and unloading operations. To predict the condition of the hydraulic system, a database from the GALIOT software package was used for carrying out maintenance on cranes at m/v “O” over a period of 120,000 working hours. In the research, fault tree analysis (FTA) was used to identify causal relationships between system failures and basic events, while the Markov mathematical model was used to model the system state and predict transitions between different failure states. A system dynamics simulation model was developed to simulate the behavior of a system using POWERSIM PowerSim Constructor 2.5.d (4002), and regression analysis was performed to analyze the simulation results and understand the relationships between dependent and independent variables. The results show that a model for predicting failures in the hydraulic motors and pumps of ship cranes was developed, and the Markov model makes it possible to estimate the frequency of transitions between states under the condition that the sum of reliability equals one. The simulation model shows high reliability of the cranes and a constant frequency of failures throughout the 120,000 operating hours, while the regression analysis confirms the validity of the simulation model and shows a strong correlation between the analyzed variables. These models are used to improve the planning of ship crane maintenance, reduce unplanned downtime, and predict and promptly detect failures, which overall minimizes maintenance costs and failures.

1 June 2018 in Tehnicki vjesnik - Technical Gazette
Verified
Journal Article
Open access
PDF file
MJMate Jurjević
Mate Jurjević
NKNikša Koboević
Nikša Koboević
Mladen BošnjakovićMladen Bošnjaković
Mladen Bošnjaković
Turbocharger is an important part of marine diesel engine installed as main propulsion on board. It is in operation from the outset and throughout the marine diesel engine exploitation. In order to meet high reliability criteria, a...