Blar i Institutt for havromsoperasjoner og byggteknikk på forfatter "Zhang, Houxiang"
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Parametric Mechanical Design for Systems Integration and Simulation of Virtual Crane.
Ding, Junjie (Master thesis, 2016)Efficient, flexible performance, operational safety, environmental issues and cost targets are became more and more urgent in the crane design system. Thus, a virtual crane prototyping (VCP) system consisting of various ... -
Path Planning of UnmannedUnderwater Vehicle (UUV ) forShortrange Fishnet Inspection Usingthe Hybrid A* Algorithm
Malisz, Michal Edward (Master thesis, 2021)This thesis present a small protion of the large motion planning domain. It focuses on the use of the Hybrid A* algorithm to generate a transverable path form A to B for underwater vehicles. The benefits is that the algorithm ... -
A Physics-Data Co-Operative Ship Dynamic Model for a Docking Operation
Kanazawa, Motoyasu; Skulstad, Robert; Wang, Tongtong; Li, Guoyuan; Hatledal, Lars Ivar; Zhang, Houxiang (Journal article; Peer reviewed, 2022)The development of onboard sensors is bringing us to the next level of ship digitalization. Its ultimate goal is to ensure safe & efficient marine operation by ship intelligence. In particular, during a docking operation, ... -
Physics-data Cooperative Modeling for Ship Motion Prediction
Wang, Tongtong (Doctoral theses at NTNU;2022:206, Doctoral thesis, 2022)Increasing development on autonomous vehicles and concern on ship navigation safety put forward a higher requirement for ship motion forecasting technology. The predictions of ship motion in the near future can give the ... -
Physics-data cooperative ship motion prediction with onboard wave radar for safe operations
Kanazawa, Motoyasu; Wang, Tongtong; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang (Chapter, 2023)The advancement of sensing technologies brings digitalization into the field of offshore operations. Especially, practitioners have paid attention to ensuring operational safety by predicting ship motion with motion sensors ... -
Preface for Human-Like Smart Autonomous Driving for Intelligent Vehicles and Transportation Systems
Li, Guofa; Olaverri-Monreal, Cristina; Zhang, Houxiang; Li, Keqiang; Green, Paul (Journal article, 2023) -
Protocols and Standard for Simulation Co-Simulation – For demanding maritime operations
Hatledal, Lars Ivar (Doctoral theses at NTNU;2021:81, Doctoral thesis, 2021)There is a strong demand for innovation and efficiency within operations, life cycle services, and design of maritime systems. Modern vessels operate increasingly autonomously through strongly interacting sub-systems. These ... -
Real-time digital twin of research vessel for remote monitoring
Major, Pierre Yann; Li, Guoyuan; Zhang, Houxiang; Hildre, Hans Petter (Chapter, 2021)Real-time digital twins of ships in operation find many applications such as predictive maintenance, climbing the ladders of ship autonomy, and offshore operational excellence. The literature describes a focus on digital ... -
Real-time prediction of fish cage behaviors under varying currents using deep neural network
Gao, Sihan; Han, Peihua; Gansel, Lars Christian; Li, Guoyuan; Zhang, Houxiang (Chapter, 2023)This paper presents a Deep Neural Network (DNN) model for rapid and low-cost prediction of fish cage behavior under varying currents. We employ a numerical model of the fish cage created in Orcaflex and a set of current ... -
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
Ellefsen, Andre; Bjørlykhaug, Emil; Æsøy, Vilmar; Ushakov, Sergey; Zhang, Houxiang (Journal article; Peer reviewed, 2018)In recent years, research has proposed several deep learning (DL) approaches to providing reliable remaining useful life (RUL) predictions in Prognostics and Health Management (PHM) applications. Although supervised DL ... -
SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Journal article; Peer reviewed, 2023)Autonomous vessels have been identified as a promising innovation in advancing marine transportation, providing an effective means to mitigate the risk of accidents, pollution incidents, and carbon dioxide emissions. ... -
Sensitivity Analysis of Marine Operations Subjected to Environmental Loads Using Co-simulation Approach
Liu, Zizheng; Chu, Yingguang; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Chapter, 2023)In this paper, a sensitivity analysis evaluation strategy of marine operations subjected to environmental loads is present. The data generation is based on the co-simulation platform Vico where the virtual marine operation ... -
A sensitivity quantification approach to significance analysis of thrusters in dynamic positioning operations.
Wang, Chunlin; Li, Guoyuan; Skulstad, Robert; Cheng, Xu; Osen, Ottar Laurits; Zhang, Houxiang (Peer reviewed; Journal article, 2021)The safety of offshore operations is highly dependent on the dynamic positioning (DP) capability of a vessel. Meanwhile, DP capability comes down to the ability of the thrust generated by thrusters to counteract environmental ... -
Ship maneuvering model optimization for improved identification with less excitation
Li, Shiyang; Wang, Tongtong; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2023)The precise model of a ship is the foundation for its operation and control. The traditional methods of building such models are time-consuming and require large amounts of simulation data, sea trial experiments, or ... -
Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing
Li, Shiyang; Wang, Tongtong; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Peer reviewed; Journal article, 2024)The safety of maritime operations has become a paramount concern with the advancement of intelligent ships. Ship stability and safety are directly impacted by roll motion, making the prediction of short-term ship roll ... -
Simplifying neural network based model for ship motion prediction: a comparative study of sensitivity analysis
Cheng, Xu; Chen, Shengyong; Diao, Chen; Liu, Mengna; Li, Guoyuan; Zhang, Houxiang (Chapter, 2017)This paper presents a comparative study of sensitivity analysis (SA) and simplification on artificial neural network (ANN) based model used for ship motion prediction. Considering traditional structural complexity of ANN ... -
Simulation method in automotive, aviation and maritime industries for digital twin: a brief survey
Mao, Runze; Li, YuanJiang; Zhang, Houxiang (Chapter, 2023)In this work, a brief survey of simulation methods used to create digital twins (DTs) or assist DTs in the automotive, aviation, and marine industries is presented. The simulation methods are classified as model-driven, ... -
SpectralSeaNet: spectrogram and convolutional network-based sea state estimation
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang; Chen, Shengyong (Chapter, 2020)Sea State is significant to the operations on the sea. The traditional model-based approaches need lots of knowledge of vessels, which limit the real-world use. This paper proposes a spectrogram-based deep learning model ... -
Survey for Interdisciplinary Co-supervision on Bachelor Thesis in Nautical Science
Wu, Baiheng; Aandahl, Hans-Ingar Johansen; Bosneagu, Romeo; Sæter, Martin Lied; Cosofret, Doru; Avram, Elena Rita; Zhang, Houxiang; Li, Guoyuan (Peer reviewed; Journal article, 2023)As the development of emerging technologies is applied in the maritime industry and nautical operations, an interdisciplinary supervision approach is expected to be designed in this subject to enable students the ability ... -
A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations
Mao, Runze; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Peer reviewed; Journal article, 2021)In the last decade researchers have increasingly considered eye tracking of the operators of cars and airplanes as a means to address human error and evaluate operational effectiveness. This article presents a systematic ...