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Analysis of risk influential factors of marine pilots during the embarkation and disembarkation 海上飞行员在上船和下船过程中的风险影响因素分析
Pub Date : 2024-08-30 DOI: 10.1080/20464177.2024.2397847
Ziyi Jiang, Zhongming Xiao, Yinwei Feng, Yuhao Cao, Dongjian Zhou, Xinjian Wang
Due to the complex geographical conditions within the port waters, it is necessary to take pilotage operations. The embarkation and disembarkation (E&D) of marine pilots is the riskiest phase of pi...
由于港口水域内复杂的地理条件,有必要进行引航作业。海上引航员的上船和下船 (E&D) 是港口水域最危险的阶段。
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引用次数: 0
Dynamic risk analysis of tank cleaning operations using bow-tie-based fuzzy Bayesian network 利用基于弓形拉杆的模糊贝叶斯网络对油罐清洗作业进行动态风险分析
Pub Date : 2024-08-27 DOI: 10.1080/20464177.2024.2395665
Taylan Güler, Cenk Ay, İsmail Çiçek
This study aims to enhance maritime safety by focusing on risk analysis in tank cleaning operations, specifically targeting the risk of spillages. The Bow-Tie-based Fuzzy Bayesian Network (BT-FBN) ...
本研究旨在通过重点分析油罐清洗作业中的风险,特别是泄漏风险,来提高海事安全。基于 Bow-Tie 的模糊贝叶斯网络 (BT-FBN) ...
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引用次数: 0
A hybrid predictive maintenance approach for ship machinery systems: a case of main engine bearings 船舶机械系统的混合预测性维护方法:以主机轴承为例
Pub Date : 2024-08-21 DOI: 10.1080/20464177.2024.2393484
Çağlar Karatuğ, Bulut Ozan Ceylan, Yasin Arslanoğlu
A hybrid maintenance strategy is proposed, combining reliability-centered and condition-based maintenance strategies to prevent engine failures. A case study on the lubrication deficiency of a ship...
本文提出了一种混合维护策略,将以可靠性为中心的维护策略和以状态为基础的维护策略相结合,以防止发动机故障。一项关于船舶润滑缺陷的案例研究...
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引用次数: 0
Experimental testing of composite T-Joints 复合材料 T 型接头的实验测试
Pub Date : 2024-08-20 DOI: 10.1080/20464177.2024.2393486
Jean-Baptiste R. G. Souppez
Composite T-joints are adhesively bonded joints between a base plate and a panel normal to it. These are crucial, yet, they remain a structural weakness of marine composite structures. A new T-join...
复合材料 T 型接头是底板和与其平行的面板之间的粘合接头。这些接头至关重要,但仍是船用复合材料结构的结构弱点。一种新型的 T 型连接件能有效地解决这个问题。
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引用次数: 0
A fuel consumption prediction model for ships based on historical voyages and meteorological data 基于历史航程和气象数据的船舶燃料消耗预测模型
Pub Date : 2024-07-09 DOI: 10.1080/20464177.2024.2371192
Kaoutar Hajli, Mikael Rönnqvist, Camélia Dadouchi, Jean-François Audy, Jean-François Cordeau, Gurjeet Warya, Trung Ngo
Predicting the fuel consumption of a ship during a voyage is a challenging task, given the internal and external factors that influence it. This challenge has gained crucial importance in light of ...
考虑到影响船舶燃料消耗的内部和外部因素,预测船舶在航行过程中的燃料消耗是一项极具挑战性的任务。考虑到船舶航行过程中的内部和外部影响因素,这一挑战变得尤为重要。
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引用次数: 0
Experimental and numerical analysis of 3D end effects in Naval Magnetohydrodynamic propulsion motors 海军磁流体推进发动机三维末端效应的实验和数值分析
Pub Date : 2024-07-09 DOI: 10.1080/20464177.2024.2375793
Mortaza Haghparast, Mohammad Reza Alizadeh Pahlavani
This study explores the impact of end electric current on the performance of a marine magnetohydrodynamic (MHD) propulsion motor or thruster using a comprehensive 3D numerical simulation. The inves...
本研究通过全面的三维数值模拟,探讨了末端电流对船用磁流体动力(MHD)推进电机或推进器性能的影响。这项研究的目的是...
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引用次数: 0
Development of comprehensive models for precise prognostics of ship fuel consumption 开发用于精确预测船舶燃料消耗的综合模型
Pub Date : 2024-07-02 DOI: 10.1080/20464177.2024.2372888
Thanh Tuan Le, Prabhakar Sharma, Nguyen Dang Khoa Pham, Duc Trong Nguyen Le, Van Vang Le, Sameh M. Osman, Lech Rowinski, Viet Dung Tran
This study incorporates two unique machine learning algorithms, Huber regression and Light Gradient Boosting Machines (LGBM), for estimating ship consumption of fuel. These methods are employed to ...
本研究采用了两种独特的机器学习算法,即 Huber 回归和轻梯度提升机(LGBM),用于估算船舶燃料消耗量。这些方法用于 ...
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引用次数: 0
A machine learning-based data-driven method for risk analysis of marine accidents 基于机器学习的数据驱动海洋事故风险分析方法
Pub Date : 2024-06-19 DOI: 10.1080/20464177.2024.2368914
Yinwei Feng, Huanxin Wang, Guoqing Xia, Wenjie Cao, Tianyi Li, Xinjian Wang, Zhengjiang Liu
In view of the frequent occurrence of marine accidents and the complex interaction of various risk-influencing factors (RIFs), a data-driven method to risk analysis that combines association rule m...
鉴于海上事故频发以及各种风险影响因素(RIF)之间复杂的相互作用,一种数据驱动的风险分析方法将关联规则模型(Association rule m...
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引用次数: 0
Harnessing traditional controllers for fast-track training of deep reinforcement learning control strategies 利用传统控制器快速训练深度强化学习控制策略
Pub Date : 2024-06-18 DOI: 10.1080/20464177.2024.2367276
Md Shadab Alam, Ignacio Carlucho
In recent years, Autonomous Ships have become a focal point for research, specifically emphasizing improving ship autonomy. Machine Learning Controllers, especially those based on Reinforcement Lea...
近年来,自动驾驶船舶已成为研究的焦点,特别是在提高船舶自主性方面。机器学习控制器,特别是那些基于强化学习技术的机器学习控制器,在提高船舶自主性方面发挥着重要作用。
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引用次数: 0
Naval engineering and ship control special edition III 海军工程与船舶控制特刊 III
Pub Date : 2024-05-07 DOI: 10.1080/20464177.2024.2345220
M. Martelli, R. D. Geertsma
The third Naval Engineering and Ship Control special edition of the Journal of Marine Engineering and Technology aims to present cutting-edge research on naval engineering and ship control, as was ...
第三期《海洋工程与技术期刊》(Journal of Marine Engineering and Technology)《海军工程与船舶控制》特刊旨在介绍海军工程与船舶控制方面的前沿研究。
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引用次数: 0
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Journal of Marine Engineering & Technology
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