Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning
Published 2021 View Full Article
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Title
Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning
Authors
Keywords
Maritime risk, Ship collisions, Geometrical evaluation, Bayesian network
Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 210, Issue -, Pages 107474
Publisher
Elsevier BV
Online
2021-01-30
DOI
10.1016/j.ress.2021.107474
References
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- (2020) Joohyun Woo et al. OCEAN ENGINEERING
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- (2019) Liye Zhang et al. OCEAN ENGINEERING
- Fuzzy logic based approach for ship-bridge collision alert system
- (2019) Bing Wu et al. OCEAN ENGINEERING
- Probabilistic risk analysis for ship-ship collision: State-of-the-art
- (2019) Pengfei Chen et al. SAFETY SCIENCE
- A study on collision strength assessment of a jack-up rig with attendant vessel
- (2019) Kukyeol Ma et al. International Journal of Naval Architecture and Ocean Engineering
- Potential risk ship domain as a danger criterion for real-time ship collision risk evaluation
- (2019) Namkyun Im et al. OCEAN ENGINEERING
- Towards supervisory risk control of autonomous ships
- (2019) Ingrid Bouwer Utne et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Probabilistic approach for collision risk analysis of powered vessel with offshore platforms
- (2018) M.P. Mujeeb-Ahmed et al. OCEAN ENGINEERING
- Ship domain applied to determining distances for collision avoidance manoeuvres in give-way situations
- (2018) Rafal Szlapczynski et al. OCEAN ENGINEERING
- A Bayesian approach to risk modeling of autonomous subsea intervention operations
- (2018) Jeevith Hegde et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A fuzzy and Bayesian network CREAM model for human reliability analysis – The case of tanker shipping
- (2018) Qingji Zhou et al. SAFETY SCIENCE
- A fuzzy-MADM based approach for site selection of offshore wind farm in busy waterways in China
- (2018) Bing Wu et al. OCEAN ENGINEERING
- The ship maneuverability based collision avoidance dynamic support system in close-quarters situation
- (2017) Xin Wang et al. OCEAN ENGINEERING
- An analysis of wintertime navigational accidents in the Northern Baltic Sea
- (2017) Floris Goerlandt et al. SAFETY SCIENCE
- An advanced method for detecting possible near miss ship collisions from AIS data
- (2016) Weibin Zhang et al. OCEAN ENGINEERING
- A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs
- (2015) Jinfen Zhang et al. OCEAN ENGINEERING
- Use of fuzzy risk assessment in FMEA of offshore engineering systems
- (2015) Zaili Yang et al. OCEAN ENGINEERING
- A risk-informed ship collision alert system: Framework and application
- (2015) Floris Goerlandt et al. SAFETY SCIENCE
- Empirical Ship Domain based on AIS Data
- (2013) Martin Gamborg Hansen et al. JOURNAL OF NAVIGATION
- A spatial–temporal forensic analysis for inland–water ship collisions using AIS data
- (2013) Yang Wang et al. SAFETY SCIENCE
- Intelligent Ocean Navigation and Fuzzy-Bayesian Decision/Action Formulation
- (2012) L. P. Perera et al. IEEE JOURNAL OF OCEANIC ENGINEERING
- Risk of collision between service vessels and offshore wind turbines
- (2012) Lijuan Dai et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Collision risk assessment for ships
- (2010) CheeKuang Tam et al. JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
- Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions
- (2010) L. P. Perera et al. JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
- An Intelligent Spatial Collision Risk Based on the Quaternion Ship Domain
- (2010) Ning Wang JOURNAL OF NAVIGATION
- Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA
- (2008) Zaili Yang et al. IEEE TRANSACTIONS ON RELIABILITY
- Use of Fuzzy Evidential Reasoning in Maritime Security Assessment
- (2008) Z. L. Yang et al. RISK ANALYSIS
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