@article{Jovanovic_Vladimir_Cajner_Perčic_2024,
	author = {Jovanovic, Ivana and Vladimir, Nikola and Cajner, Hrvoje and Perčic, Maja},
	title = {The Overview of Risk Analysis Methods and Discussion on Their Applicability for Power System of Autonomous Ships},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {18},
	number = {1},
	pages = {109-113},
	year = {2024},
	url = {./Article_The_Overview_of_Risk_Analysis_Methods_Jovanovic,69,1379.html},
	abstract = {The aim of system safety, as a sub-discipline of engineering, is to implement scientific, engineering and management knowledge to provide identification, evaluation, prevention, and control of identified hazards throughout the life cycle and within the defined boundaries of operational effectiveness, time, and cost. By utilizing risk analysis, the system safety function can assign expected values to certain hazards and/or failures to determine the likelihood of their occurrence. Autonomous and unmanned shipping are emerging topics, where technologies needed for their successful implementation in global fleet already exists and it is crucial to demonstrate that they are as safe as conventional ships. Through literature it is suggested that by eliminating human error as a cause of 53% of maritime accidents, autonomous and unmanned shipping will increase maritime safety, but it is important to consider that new types of accidents can appear. Considering that autonomous and unmanned ships need to operate with unattended ship machinery for extended time periods and that empirical data is not available, new framework for reliability assessment is needed. The aim of this paper is to provide overview of risk approaches that can be applied for reliability assessment of autonomous and unmanned ship. Within this paper, literature review is performed where reliability methods and their application to autonomous shipping are outlined. Furthermore, Bayesian network is selected as most promising one and further discussed.},
	doi = {10.12716/1001.18.01.09},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Risk Analysis, Failure Analysis, Autonomous Ship, Bayesian Networks, Assessment of Risk, Autonomous Merchant Ships, Fault Tree Analysis (FTA), Ship power systems}
}