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Journal of Ocean Engineering and Science
Scopus
ISSN 2468-0133 · Elsevier · 456 artikel di indeks
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Artikel Jurnal
Data-driven predictive maintenance for two-stroke marine diesel engines using machine learning and MLOps
Digital ship operation is just around the corners with the rapid development of Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) technologies. Real time condition monitoring and Predictive Maintenance (PdM) of marine diesel engines are crucial to realize the success of ship…
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Artikel Jurnal
Undulatory vs. gliding locomotion: Effects on underwater object detection
Underwater object detection based on flow sensing is crucial for bio-inspired robotics, due to its reliable performance in turbid environment. Nevertheless, how locomotion patterns affect sensing performance remains poorly understood. We employ numerical simulations to systematically compare flow…
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Artikel Jurnal
Research on the mechanism and distribution characteristics of bubble generation in the bow of a research vessel
The flow around the ship bow involves complex three-dimensional flow separation, leading to the generation of a large number of bubbles. These bubbles have a significant impact on acoustic instrumentation, and mitigating their effects has become a key focus in the field. Central to this issue is…
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Artikel Jurnal
Global and local behaviors of sand-steel interfaces subjected to cyclic and post-cyclic shear loading
The sand-steel interface (SSI) behavior is crucial for the stability of offshore structures in marine environments. A series of cyclic and post-cyclic shear tests were conducted using a modified direct shear apparatus (MDSA), to examine both global and local SSI behaviors. Experimental…
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Artikel Jurnal
Time-domain dynamic response analysis of progressive mooring failure for deep-sea semi-submersible platforms
Deepwater semi-submersible platforms play a pivotal role in the exploration and exploitation of marine resources. The ''Deep Sea No.1″ semi-submersible platform in the South China Sea serves as the reference case for numerical simulations. Progressive mooring failures may significantly increase the…
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Artikel Jurnal
Large language models for the marine environmental variables prediction
Monitoring and predicting marine environmental variables are important for safeguarding livelihoods and the economy. Large language models (LLMs) have shown great potential in time series prediction because of their strong computational capabilities, and the application of LLMs to the prediction of…
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Artikel Jurnal
Experimental motion and load comparison of rigidly and hinged connected very large floating platforms
Very large floating structures (VLFS) could provide a new approach to floating wind foundations due to their capacity to host multiple wind turbines into a single platform. Nonetheless, further evidence of their motion and loading performance is needed. Among the existing options, very large…
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Artikel Jurnal
A hybrid experimental investigation of structural parameter effects on 2-DOF vortex-induced vibrations of a circular cylinder
This study develops a two-degree-of-freedom (2-DOF) virtual physical framework (VPF) to investigate structural parameter effects on 2-DOF vortex-induced vibrations (VIV) of a circular cylinder. The framework ensures strictly planar vibrations with equal mass in both directions, while allowing…
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Artikel Jurnal
Interpretable machine learning approach for AUV motion prediction based on lake-test data
Interpretable models are essential for deploying deep-learning techniques in marine activities. However, the layered complexity of state-of-the-art deep-learning architectures hinders mechanistic insight and limits adoption. Here, we introduce a three-degree-of-freedom surrogate model that renders…
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Artikel Jurnal
Fishing ship trajectory prediction considering trajectory behavior characteristics
Understanding and accurately predicting the trajectory changes of fishing ships is of great significance for effectively preventing collisions between merchant and fishing ships and enhancing the safety supervision of fishing ships. Due to the problems that the existing methods for predicting the…
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Artikel Jurnal
In-situ visualization of hydrostatic-dependent mechanical deformation evolution for underwater acoustic coating using customized X-ray imaging technology
Acoustic absorption in underwater coatings decreases with increasing hydrostatic pressure due to pressure-induced morphological changes in embedded air cavities. However, limited experimental characterization and imprecise modeling of cavity deformation under high pressure have hindered both…
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Artikel Jurnal
Performance analysis of two-body wave energy converters with a bistable mechanism and a mechanical motion rectifier in irregular waves
Various bistable mechanisms have been extensively investigated in wave energy utilization. However, there is little application of their physical realization in two-body wave energy converters (WECs) suitable for offshore regions. Therefore, this work proposes a physical realization of a spring…
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Artikel Jurnal
Improved hybrid Z-number Bayesian network approach to predict mooring line failure during cargo operations in ships
Mooring operations are considered one of the most high-risk activities in cargo ship operations due to the complex interplay of human factors, equipment condition and environmental factors. This paper investigates quantitatively the mooring line risk during cargo operations in ships. To achieve…
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Artikel Jurnal
Fractional attention entropy and enhanced intrinsic time-scale decomposition for robust underwater target signal detection
Underwater target signal detection faces great challenges due to complex ocean noise and time-varying signal characteristics. In this paper, a novel hybrid framework combining fractional attentional entropy (FAE) and enhanced intrinsic time scale decomposition (EITD) is proposed to improve the…
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Artikel Jurnal
Bayesian modeling for natural gas pipeline corrosion management
Pipeline corrosion analysis is considered a challenging topic due to the complexity and uncertainty of the factors involved. The uncontrolled consequences of corrosion impact the ''natural ecosystem, society, and economy.'' Investigating corrosion plays a crucial role in managing incidents. This…
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Artikel Jurnal
Adaptive RBF network based sliding mode controller with novel switching term for hovering deep sea mining vehicle trajectory tracking
Hovering deep-sea mining provides a new direction for deep-sea nodule mining; however, accurate trajectory tracking of hovering mining vehicle remains a key challenge. This paper presents an adaptive RBF network sliding mode controller (ARBFNNSMC) for trajectory tracking of hovering mining…
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Artikel Jurnal
Observing typhoon-driven upper ocean dynamics in the South China Sea using a virtual mooring underwater glider array: Methods and analysis
Accurate and persistent observation of typhoon-induced upper ocean dynamics remains challenging due to strong currents and the limited station-keeping capability of autonomous platforms. This study proposes a learning-based virtual mooring framework using an underwater glider array to observe…
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Artikel Jurnal
A review on underwater beamforming: Techniques, challenges, and future directions
This paper comprehensively reviews recent advancements in Underwater Beamforming (UWB) systems, highlighting its pivotal role in underwater communication, sensing, and environmental monitoring. It explores the various beamforming applications, ranging from maritime surveillance to marine life…
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Artikel Jurnal
Phase plane bifurcation analysis of water wave dynamics in the simplified modified Camassa–Holm model with friction and wind effects
The simplified modified Camassa–Holm equation plays a pivotal role in modeling nonlinear wave dynamics across diverse fields, including optical fibers, biological transport, plasma physics, and shallow water flows. Its unique mathematical structure captures essential features of wave-breaking…
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Artikel Jurnal
Multi-layered heat source model for fiber laser welding of cryogenic steel
Simulation models can be effectively used to predict welding distortion and residual stress in laser welding systems. To this end, developing a sophisticated heat source model for finite element analysis (FEA) is crucial. This study proposes a novel multi-layered heat source model for FEA to…