Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach
出版年份 2021 全文链接
标题
Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach
作者
关键词
Ship collision, Fuzzy Bayesian network, Validation, Sensitivity analysis, Risk analysis
出版物
OCEAN ENGINEERING
Volume 231, Issue -, Pages 108973
出版商
Elsevier BV
发表日期
2021-05-08
DOI
10.1016/j.oceaneng.2021.108973
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network
- (2020) Weiliang Qiao et al. RISK ANALYSIS
- Application of fuzzy logic to fault tree and event tree analysis of the risk for cargo liquefaction on board ship
- (2020) Emre Akyuz et al. APPLIED OCEAN RESEARCH
- Application of fuzzy bow-tie risk analysis to maritime transportation: The case of ship collision during the STS operation
- (2020) Seher Suendam Arici et al. OCEAN ENGINEERING
- A hybrid model for human-factor analysis of engine-room fires on ships: HFACS-PV&FFTA
- (2020) Songül Sarıalioğlu et al. OCEAN ENGINEERING
- Time-Varying Risk Measurement for Ship Collision Prevention
- (2019) Yamin Huang et al. RISK ANALYSIS
- Evaluation of human error contribution to oil tanker collision using fault tree analysis and modified fuzzy Bayesian Network based CREAM
- (2019) Shuen-Tai Ung OCEAN ENGINEERING
- Application of Fuzzy Fault Tree Analysis (FFTA) to maritime industry: A risk analysing of ship mooring operation
- (2019) Ali Cem Kuzu et al. OCEAN ENGINEERING
- Probabilistic ship domain with applications to ship collision risk assessment
- (2019) Liye Zhang et al. OCEAN ENGINEERING
- A dynamic Bayesian network based methodology for fault diagnosis of subsea Christmas tree
- (2019) Peng Liu et al. APPLIED OCEAN RESEARCH
- Probabilistic risk assessment based model validation method using Bayesian network
- (2018) Shinyoung Kwag et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Safety analysis of process systems using Fuzzy Bayesian Network (FBN)
- (2018) Esmaeil Zarei et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- A hybrid model for human factor analysis in process accidents: FBN-HFACS
- (2018) Esmaeil Zarei et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- A hybrid risk-based approach for maritime applications: The case of ballast tank maintenance
- (2017) Muhammet Gul et al. HUMAN AND ECOLOGICAL RISK ASSESSMENT
- A novel analytic framework of real-time multi-vessel collision risk assessment for maritime traffic surveillance
- (2017) Rong Zhen et al. OCEAN ENGINEERING
- An integrated risk assessment based on uncertainty analysis for cargo vessel safety
- (2017) Hakan Akyildiz et al. SAFETY SCIENCE
- Development of a quantitative risk assessment model for ship collisions in fairways
- (2017) Tian Chai et al. SAFETY SCIENCE
- An analysis of domain-based ship collision risk parameters
- (2016) Rafal Szlapczynski et al. OCEAN ENGINEERING
- A novel flexible model for piracy and robbery assessment of merchant ship operations
- (2016) Sascha Pristrom et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Incorporation of human factors into ship collision risk models focusing on human centred design aspects
- (2016) P. Sotiralis et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Applications of fuzzy faulty tree analysis and expert elicitation for evaluation of risks in LPG refuelling station
- (2015) Sivaprakasam Rajakarunakaran et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Utilisation of Fuzzy Fault Tree Analysis (FFTA) for quantified risk analysis of leakage in abandoned oil and natural-gas wells
- (2015) Seyed Miri Lavasani et al. OCEAN ENGINEERING
- Maritime transportation risk analysis: Review and analysis in light of some foundational issues
- (2015) Floris Goerlandt et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A fuzzy Bayesian belief network for safety assessment of oil and gas pipelines
- (2015) Golam Kabir et al. Structure and Infrastructure Engineering
- Bayesian-network-based safety risk analysis in construction projects
- (2014) Limao Zhang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Utilisation of cognitive map in modelling human error in marine accident analysis and prevention
- (2014) Emre Akyuz et al. SAFETY SCIENCE
- Metrics for evaluating performance and uncertainty of Bayesian network models
- (2012) Bruce G. Marcot ECOLOGICAL MODELLING
- Determination of human error probabilities in maintenance procedures of a pump
- (2012) Alireza Noroozi et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Investigations of Human and Organizational Factors in hazardous vapor accidents
- (2011) Yan Fu Wang et al. JOURNAL OF HAZARDOUS MATERIALS
- Accident modeling approach for safety assessment in an LNG processing facility
- (2011) Samith Rathnayaka et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches
- (2011) Nima Khakzad et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
- (2010) P. Weber et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Assessing new product development project risk by Bayesian network with a systematic probability generation methodology
- (2009) Kwai-Sang Chin et al. EXPERT SYSTEMS WITH APPLICATIONS
- An Offshore Risk Analysis Method Using Fuzzy Bayesian Network
- (2009) J. Ren et al. JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME
- A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria
- (2008) I. Babuška et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation
- (2007) P. Trucco et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started