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Title
Risk assessment of LNG carrier systems failure using fuzzy logic

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Zalewski, Paweł1
URI: https://repository.am.szczecin.pl/handle/123456789/286
2011-03-10 2011
The failure data available for power, navigation, propulsion and steering systems onboard LNG carriers, during critical manoeuvres in the final harbour and berth approach phase, are often accompanied with a high degree of uncertainty. For this reason the use of conventional probabilistic risk assessment methods may not be well suited. The approach described uses fault tree analysis to calculate the fuzzy probability of systems failure. The risks associated with failure events are determined by combining their occurrence likelihood (probability) and possible consequences to produce a risk ranking

Title

Risk assessment of LNG carrier systems failure using fuzzy logic

Pages

77-85

Figures

8

Tables

3

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

Type

Original scientific article

Journal

25 Scientific Journals of the Maritime University of Szczecin, no. 25 / 2011

Publisher

Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie

Copyright Holder

Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie

Published

2011-03-10

Recieved

2011-01-17

Accepted

2011-02-13

Funding

No data

Keywords

risk assessment, LNG carrier, fuzzy logic

URI:

https://repository.am.szczecin.pl/handle/123456789/286

Language

English

Authors

Zalewski, Paweł1

Affiliation

1 Maritime University of Szczecin, Faculty of Navigation, Marine Traffic Engineering Centre, Wały Chrobrego 1-2, 70-500 Szczecin, p.zalewski@am.szczecin.pl

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