Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Fuzzy-neuron Model of the Ship Propulsion Risk
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: A prediction model is presented of the ship propulsion risk, i.e. a risk of the consequences of loss of the ship propulsion capability. This is an expert model based on opinions elicited by the ship power plant operators. The risk level depends, among other things, on the reliability state of the ship propulsion system components. This state is defined by operators in a linguistic form. The formal risk model parameters are determined by means of a neural network. The model may be useful in the ship operation decision processes.
KEYWORDS: Casualty Analysis Tool, Risk Analysis, Immediate Catastrophic Failure (ICF), Fuzzy-Neuron Model, Ship Propulsion Risk, Risk Prediction, Analytical Hierarchy Process (AHP)
REFERENCES
IMO, MSC-MEPC.3/Circ.1. 2005. Casualty-related matters. Reports on marine casualties and incidents. Revised harmonized reporting procedures – Reports required under SOLAS regulation I/21 and MARPOL 73/78, articles 8 and 12.
Brandowski A. 2005. Subjective probability estimation in risk modeling (in Polish). Problemy Eksploatacji 3/2005 (58). Zeszyty Naukowe Instytutu Technologii Eksploatacji Radom.
Brandowski A., Frackowiak W., Mielewczyk A. 2007. Subjective reliability estimation of a seagoing ships. Proceedings of ESREL2007 Conferece. Stravanger.
Brandowski A., Frackowiak W., Nguyen H., Podsiadlo A. 2008. Subjective propulsion risk of a seagoing ship. Proceedings of ESREL2008 Conference. Valencia.
Brandowski A., Frackowiak W., Nguyen H., Podsiadlo A. 2009. Risk estimation of a sea-going ship casualty as the consequence of propulsion loss. Proceedings of ESREL2009 Conference. Prague.
Saaty T.L. et al.1980. The Analytic Hierarchy Process. New York.McGraw-Hill.
Nguyen H. 2009. Application of AHP method in the risk etimation of ship systems (in Polish). Polish Maritime Research 1/2009. Gdańsk 2009.
Modarres M., Kaminskiy M., Krivtsov. 1999. Reliability Engineering and Risk Analysis. New York, Basel: Marcel Dekker, Inc.
Misra K. B. 1992. Reliability Analysis and Prediction. A Methodology Oriented Treatment. ELSEVIER. Amsterdam, Oxford, New York, Tokyo.
Piegat A. 1999. Fuzzy modeling and contol (in Polish). Akademicka Oficyna Wydawnicza EXIT. Warszawa.
Graham P. 2009. Casualty and World Fleet Statistics as at 31.12.2008. IUMI Facts & Figures Committee..
Podsiadło A. 2008. Analysis of failures in the engines of main ship propulsion (in Polish). Internal study of Gdynia Maritime University. Gdynia.
Citation note:
Brandowski A., Mielewczyk A., Nguyen H., Frąckowiak W.: Fuzzy-neuron Model of the Ship Propulsion Risk. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 5, No. 3, pp. 337-343, 2011
Other publications of authors:
File downloaded 1851 times
