Related references
Note: Only part of the references are listed.
Article
Engineering, Industrial
Ahmet Lutfi Tuncel et al.
Summary: This paper conducts a risk analysis on fire and explosion accidents in bulk carrier ships using fuzzy logic, fault tree analysis, and Cut Set Importance Measurement. The findings highlight the high risk of F&E accidents in bulk carrier ships and provide valuable insights and control measures for ship owners and managers.
Article
Engineering, Marine
Nikolaos P. P. Ventikos et al.
Summary: This paper presents an enhanced risk model for ship evacuation process, which helps understand the actual risks of fire and flooding accidents and assess various risk control measures. The model covers the entire event sequence in emergencies and is constructed using event tree analysis and Bayesian networks.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Matteo Iaiani et al.
Summary: Offshore Oil&Gas facilities are attractive targets of intentional malicious attacks which may have severe consequences on people, environment, and assets. Current practice in managing security attacks relies on qualitative or semi-quantitative procedures. In this study, a systematic quantitative procedure based on Bayesian Network approach is developed to calculate the probability of success of physical security attacks.
Article
Engineering, Mechanical
Gizem Elidolu et al.
Summary: Cargo operations on tanker vessels pose high risks to crew and the marine environment, including the potential for explosions caused by static electricity. This study focuses on static electricity-related accidents and identifies key contributing factors such as inadequate monitoring, operational failures, and unsafe practices.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Marine
Beatriz Navas de Maya et al.
Summary: This paper discusses the hazards of fires onboard passenger ships and the importance of crew response actions. By applying HTA and HEART, it examines potential human errors during fires and suggests remedial measures.
Article
Engineering, Marine
Shengzheng Wang et al.
Summary: A fire situation perception method based on an improved dark channel prior and coordinate attention deep learning network is proposed for unmanned fire-fighting vessels at sea, aiming to achieve autonomous fire detection. The method significantly contributes to the application of unmanned systems for offshore intelligent fire-fighting vessels.
Article
Engineering, Industrial
Esma Uflaz et al.
Summary: This paper conducts a comprehensive effectiveness analysis of ISM Code implementation using the best-worst method (BWM) to enhance the safety management system (SMS) implementation, providing significant contribution to ship management companies and safety professionals.
Article
Computer Science, Artificial Intelligence
Kaiyuan Bai et al.
Summary: This article investigates the feasibility of applying the broad learning system (BLS) to realize a novel Takagi-Sugeno-Kang (TSK) neuro-fuzzy model, namely a broad learning based dynamic fuzzy inference system (BL-DFIS). BL-DFIS not only improves the accuracy and interpretability of neuro-fuzzy models but also solves the challenging problem of determining the optimal architecture autonomously. It achieves this through the use of an extreme learning machine auto-encoder, interpretable linguistic fuzzy rules, and the design of enhancement nodes and extended-enhancement units.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Industrial
Wenwen Tian et al.
Summary: Surface roughness is a crucial indicator for product quality, which can be influenced by multiple uncertain factors in the machining processes. Fuzzy broad learning system (FBLS) has demonstrated advantages in predicting surface roughness due to its ability to handle nonlinear and uncertain modeling. In this study, a novel FBLS based on feature selection is proposed by adopting three binarization mechanisms for selecting features at different layers. The proposed method is evaluated by predicting surface roughness in an actual slot milling process, and the experimental results show superior prediction accuracy compared to conventional methods.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Engineering, Marine
Chenfeng Li et al.
Summary: This paper presents a risk assessment method for a ship's power system under the conditions of an engine room fire. By combining expert assessment and fuzzy fault tree analysis, a fire safety risk assessment model was established, demonstrating a low frequency of ship engine room fires with the main engine fuel system posing the highest risk.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Houyao Zhang et al.
Summary: This study proposes a dynamic evolutionary model to quantify the domino effect of ship engine room fires and assess the risk of fire spread. The results indicate that 2 min and 4 min are crucial time nodes for fire development and spread, and extinguishing key equipment can effectively restrain further expansion of the fire. The study provides critical references for ship fire prevention, fire suppression, and fire protection design.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Qifu Wang et al.
Summary: This study proposes a combination framework based on nonlinear generalization and multi-resolution capability to solve the difficulties of INS under stochastic error interference and provide high-accuracy navigation solution during GPS signal blockage. Experimental results on the USV platform confirm the effectiveness and feasibility of the proposed method.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Construction & Building Technology
Luqi Wang et al.
Summary: Building fires, especially during operation and maintenance periods, are common and most risk factors are linked to human activities. Fire risk assessment is necessary to control and improve prevention, with methods like quantifying risk index and using BIM technology. Introducing assessment index systems and risk value calculation models can enhance firefighting abilities and utilize BIM technology effectively.
BUILDING AND ENVIRONMENT
(2021)
Article
Engineering, Industrial
U. Bhardwaj et al.
Summary: This paper presents a methodology for risk assessment and probabilistic modeling of fire and explosion accidents in FPSO units. By analyzing incident data and developing a Bayesian Network model, the paper provides detailed insights into high-risk scenarios specific to FPSOs. The results offer valuable information for FPSO developers and operators to prevent and mitigate fire and explosion accidents.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Jiansong Wu et al.
Summary: This study proposes a quantitative risk assessment model for LNG bunkering and storage at ports based on Bayesian network, which offers a new perspective to identify hazards and risks and assess the evolution process of LNG accidents. Scenario analysis of typical LNG accidents validates the proposed model, while sensitivity analysis helps identify critical hazards and quantify correlations between elements in LNG accidents. The risk assessment framework contributes significantly to enhancing the technical tools available for safety assessment and loss prevention in LNG bunkering and storage at ports.
Article
Engineering, Chemical
Shengyu Jiang et al.
Summary: A real-time risk assessment model is proposed for analyzing release accidents, combining Fault Tree-Event Tree, Bayesian network, and Computational Fluid Dynamics to describe and handle the risk of escalation into combustion or explosion. This methodology can be used for facility layout optimization and ignition sources control based on testing with a case of release accidents on a production platform.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2021)
Article
Engineering, Marine
Zhongzhi Liu et al.
Summary: This paper presents an improved failure risk assessment method for a large luxury cruise ship's bilge system under fire accident conditions, incorporating an expert weight calculation model and a risk coefficient calculation model. Sensitivity analysis is conducted to study the effects of these models on the method's performance. Empirical study results demonstrate the method's effectiveness in minimizing issues encountered with traditional methods and providing practical design guidelines.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Automation & Control Systems
Shuang Feng et al.
IEEE TRANSACTIONS ON CYBERNETICS
(2020)
Article
Engineering, Marine
Jian Ji et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2020)
Article
Engineering, Industrial
Kostas J. Spyrou et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Marine
Songul Sarialioglu et al.
Article
Computer Science, Artificial Intelligence
C. L. Philip Chen et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2018)