Blar i NTNU Open på forfatter "Li, Guoyuan"
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Digital Twin for Structural Monitoring and Predictive Maintenance of a Maritime Crane
Villarreal Lozano, Carolina (Master thesis, 2020)Industry 4.0 has revolutionized the industries by the application of technology in multiple ways. One of its focus is digital twins, which are virtual representations of physical products simulated in specialized software ... -
A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies
Zhang, Houxiang; Li, Guoyuan; Hatledal, Lars Ivar; Chu, Yingguang; Ellefsen, André Listou; Han, Peihua; Major, Pierre Yann; Skulstad, Robert; Wang, Tongtong; Hildre, Hans Petter (Journal article; Peer reviewed, 2022) -
Directional wave spectrum estimation with ship motion responses using adversarial networks
Han, Peihua; Li, Guoyuan; Skjong, Stian; Zhang, Houxiang (Peer reviewed; Journal article, 2022)The external environmental conditions around a vessel are essential for efficient and safe ship operation, among which the sea state is of key importance. Considering the ship as a large wave buoy, the sea state can be ... -
Dynamic Modeling and Anti-swing Control of Double Pendulum Payload System of Overhead Crane
Liu, Zizheng; Wang, Shenghai; Chen, Haiquan; Li, Guoyuan; Zhang, Houxiang (Chapter, 2022)In this paper, an anti-swing controller for a double pendulum payload system is proposed using the method of backstepping based on dynamic models. Lagrange equations are used to derive the dynamic equations of the overhead ... -
Effect of Ship Propulsion Retrofit on Maneuverability Research Based on Co-simulation
Wang, Tongtong; Hatledal, Lars Ivar; Kanazawa, Motoyasu; Li, Guoyuan; Zhang, Houxiang (Chapter, 2022)Shipping has been dominating the transportation industry in worldwide trade. During the service life of a vessel, conversions in mid-life often occur for economic or technical purposes. By replacing expired components or ... -
An effective model-based thruster failure detection method for dynamically positioned ships
Wang, Tongtong; Li, Guoyuan; Skulstad, Robert; Æsøy, Vilmar; Zhang, Houxiang (Chapter, 2020)This paper presents an effective model-based thruster failure detection and isolation method for dynamically positioned (DP) offshore surface vessels. A DP vessel is supposed to maintain its position and heading at a ... -
An effective ship control strategy for collision-free maneuver toward a dock
Shuai, Yonghui; Li, Guoyuan; Xu, jinshan; Zhang, Houxiang (Peer reviewed; Journal article, 2020)Ship maneuvering toward a dock is a hot research topic in the field of autonomous ships. How to realize autonomous low-speed maneuver to a designated location under environmental disturbances is the fundamental problem at ... -
An Enhanced Lightweight Convolutional Neural Network for Ship Detection in Maritime Surveillance System
Yin, Yifan; Cheng, Xu; Shi, Fan; Zhao, Meng; Li, Guoyuan; Chen, Shengyong (Peer reviewed; Journal article, 2022)With the extensive application of artificial intelligence, ship detection from optical satellite remote sensing images using deep learning technology can significantly improve detection accuracy. However, the existing ... -
Fault Detection with LSTM-Based Variational Autoencoder for Maritime Components
Han, Peihua; Ellefsen, Andre; Li, Guoyuan; Holmeset, Finn Tore; Zhang, Houxiang (Journal article; Peer reviewed, 2021)Maintenance routines on ships today follow either a reactive maintenance (RM) or preventive maintenance (PvM) approach. RM can be regarded as post-failure repair, which might create large costs. PvM uses predetermined ... -
Fault Prognostics Using LSTM Networks: Application to Marine Diesel Engine
Han, Peihua; Ellefsen, Andre; Li, Guoyuan; Æsøy, Vilmar; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Maintenance is the key to ensuring the safe and efficient operation of marine vessels. Currently, reactive maintenance and preventive maintenance are two main approaches used onboard. These approaches are either cost-intensive ... -
Framework for a Digital Twin of Brusdalsvatnet Water Quality
Primeau, Russell Burch (Master thesis, 2024)Overflatevannforekomster inkludert drikkevannskilder er sårbare for forurensning fra avrenning, utslipp av avløpsvann og andre menneskeskapte aktiviteter. For å beskytte vannkilder, sikre effektiviteten til behandlingsprosesser ... -
From natural complexity to biomimetic simplification: realization of bionic fish inspired by the Cownose Ray
Cai, Yueri; Bi, Shusheng; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Journal article; Peer reviewed, 2018) -
Gated Convolutional Neural Network for Wind Turbine Blade Icing Detection
Tian, Weiwei; Cheng, Xu; Shi, Fan; Li, Guoyuan; Chen, Shengyong; Zhang, Houxiang (Chapter, 2022)Blade icing detection plays an important role in wind turbine protection and maintenance. Employing well trained deep learning model is a promising method for blade ice detection but needs effective neural networks for ... -
Genetic Algorithm-based Parameter Identification for Ship Manoeuvring Model under Wind Disturbance
Zhu, Mingda (Master thesis, 2021)With the rapid development in ship digitalization and automation, to accurately determine the ship mathematical model has become much more demanding. Dynamic ship mathematical model with high fidelity is the indispensable ... -
Global and Local Awareness: Combine Reinforcement Learning and Model-Based Control for Collision Avoidance
Zhao, Luman; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2024)In this research, we focus on developing an autonomous system for multiship collision avoidance. The proposed approach combines global path planning based on deep reinforcement learning (DRL) and local motion control to ... -
Human Evacuation planning for Passenger Ships-Uncertainty Modelling
Arshad, Hossein (Doctoral theses at NTNU;2024:195, Doctoral thesis, 2024)The burgeoning cruise industry has emphasized the importance of maritime safety and efficient evacuation protocols. The tangible risks and past incidents involving passenger ships spotlight the critical necessity for ... -
A human-expertise based statistical method for analysis of log data from a commuter ferry
Wu, Baiheng; Li, Guoyuan; Zhao, Luman; Hildre, Hans Petter; Zhang, Houxiang (Chapter, 2020)The proposed method in this paper aims to better understand the log data from the commuter ferry. By the method, the mechanism of how the human expertise operates the ferry can be found, and thus help to establish ship ... -
A Hybrid Approach to Motion Prediction for Ship Docking— Integration of a Neural Network Model into the Ship Dynamic Model
Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Vik, Bjørnar; Zhang, Houxiang (Peer reviewed; Journal article, 2020)While automatic controllers are frequently used during transit operations and low-speed maneuvering of ships, ship operators typically perform docking maneuvers. This task is more or less challenging depending on factors ... -
Hydrodynamic development of a bionic pectoral fin for undersea monitoring platform
Cai, Yueri; Ren, Xingwei; Bi, Shusheng; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Journal article; Peer reviewed, 2018)Bionic pectoral fins play an essential role in achieving the superior swimming ability of the bio-inspired undersea monitoring platform by producing desired movements and propulsion forces. This paper discusses the ... -
Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction
Wang, Tongtong; Li, Guoyuan; Hatledal, Lars Ivar; Skulstad, Robert; Æsøy, Vilmar; Zhang, Houxiang (Peer reviewed; Journal article, 2021)High-fidelity models capable of accurately predicting ship motion are critical for promoting innovation and efficiency in the maritime industry. However, creating an advanced model that comprehensively represents the system ...