Blar i NTNU Open på forfatter "Li, Guoyuan"
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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 ... -
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 ... -
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 ... -
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 ... -
Incorporation of ship motion prediction into active heave compensation for offshore crane operation
Chu, Yingguang; Li, Guoyuan; Zhang, Houxiang (Chapter, 2020)Ship motion has significant effects on certain maritime applications like offshore crane operation. In particular, the vertical heave motion is undesired for safe transferring, accurate positioning and subsea installation. ... -
An Integrated Approach to Modelling Fish Cage Response in the Flow
Gao, Sihan; Gansel, Lars Christian; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Noticeable progress has been made in recent years regarding sensor-based monitoring and model-based simulation of sea cage response. The discrepancy between measured data and simulation results can cause confusion about ... -
Integration of visual focus into marine operation simulator for behavior observation and analysis
Li, Guoyuan; homlong, Eirik; Dimmen, Bjørn Aase; Zhang, Houxiang (Chapter; Peer reviewed, 2017)This paper presents a framework of visual focus integration into marine operation simulator for behavior observation and analysis. Towards an evaluation of trainees' situation awareness in simulators, the eye tracking ... -
Investigating an Integrated Sensor Fusion System for Mental Fatigue Assessment for Demanding Maritime Operations
Monteiro, Thiago Gabriel; Li, Guoyuan; Skourup, Charlotte; Zhang, Houxiang (Peer reviewed; Journal article, 2020)Human-related issues are currently the most significant factor in maritime causalities, especially in demanding operations that require coordination between two or more vessels and/or other maritime structures. Some of ... -
Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction
Kanazawa, Motoyasu; Wang, Tongtong; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2022)A ship automation will be a key to the future maritime. In particular, ship dynamic models play an integral role. However, it is challenging to develop an accurate model readily. Recent studies proposed a physics-data ... -
Knowledge transfer strategy for enhancement of ship maneuvering model
Wang, Tongtong; Skulstad, Robert; Kanazawa, Motoyasu; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2023)The advancement of autonomous vehicles and concerns about ship navigation safety have resulted in a greater need for ship model quality. However, in situations where there is limited prior information or data available ...