Houxiang Zhang
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View article: Leveraging AIS data for maneuver detection and knowledge extraction during ship encounter
Leveraging AIS data for maneuver detection and knowledge extraction during ship encounter Open
View article: Software Engineering for Self-Adaptive Robotics: A Research Agenda
Software Engineering for Self-Adaptive Robotics: A Research Agenda Open
Self-adaptive robotic systems operate autonomously in dynamic and uncertain environments, requiring robust real-time monitoring and adaptive behaviour. Unlike traditional robotic software with predefined logic, self-adaptive robots exploit…
View article: Understanding the Determinants of Electric Vehicle Range: A Multi-Dimensional Survey
Understanding the Determinants of Electric Vehicle Range: A Multi-Dimensional Survey Open
Electric vehicles (EVs) play a critical role in the transition to sustainable transportation. Despite significant advancements in technology, EVs continue to face major challenges, particularly in terms of limited range, high costs, and in…
View article: Full-scale experimental research on wave shielding effect of RV Gunnerus for offshore operations
Full-scale experimental research on wave shielding effect of RV Gunnerus for offshore operations Open
View article: Assessing Helicopter Turbine Engine Health: A Simple Yet Robust Probabilistic Approach
Assessing Helicopter Turbine Engine Health: A Simple Yet Robust Probabilistic Approach Open
This paper presents a data-driven approach for assessing the health of helicopter turbine engines, developed for the PHM North America 2024 Conference Data Challenge. The task involves both regression and classification to estimate the tor…
View article: Anomaly Detection in Time Series Data
Anomaly Detection in Time Series Data Open
This paper presents a novel unsupervised approach for anomaly detection in marine diesel engines using a Transformer Neural Network based autoencoder (TAE) and residual analysis with Sequential Probability Ratio Test (SPRT) and Sum of Squa…
View article: Floating offshore wind farm installation, challenges and opportunities: A comprehensive survey
Floating offshore wind farm installation, challenges and opportunities: A comprehensive survey Open
The deployment of floating offshore wind farms marks a pivotal step in unlocking the vast potential of offshore wind energy and propelling the world towards sustainable energy solutions. Despite the compelling prospects of floating wind te…
View article: Shipboard crane digital twin: An empirical study on R/V Gunnerus
Shipboard crane digital twin: An empirical study on R/V Gunnerus Open
The maritime industry is constantly facing new challenges and technological advancements, making the adaptation of innovative solutions like digital twins a bridge enhancing safety and efficiency between theoretical models and real-world m…
View article: A review of maritime equipment prognostics health management from a classification society perspective
A review of maritime equipment prognostics health management from a classification society perspective Open
With the development of digital technology, the maritime industry is under continuous digital transformation. For example, from manned engine room to control room and even to remotely controlled or autonomous ships. Maintenance has also ch…
View article: A co-simulation approach to onboard support of marine operation: a Palfinger crane path planning case
A co-simulation approach to onboard support of marine operation: a Palfinger crane path planning case Open
Marine cranes are one of the most important industrial equipment in the maritime field. The base of a marine crane is dynamically moving as the motion of the ship’s six degrees of freedom that is affected by offshore environmental loads. T…
View article: Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing
Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing Open
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 motion pivotal for as…
View article: Prediction-enabled path planning for multi-ship encounters in Oslofjord
Prediction-enabled path planning for multi-ship encounters in Oslofjord Open
Maritime navigation in multi-ship encounters presents challenges due to dynamic perturbations and complexity, which lead to elevated safety concerns. Conventional path-planning methods exhibit several issues. This paper addresses these iss…
View article: Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project
Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project Open
The robots of tomorrow should be endowed with the ability to adapt to drastic and unpredicted changes in their environment and interactions with humans. Such adaptations, however, cannot be boundless: the robot must stay trustworthy. So, t…
View article: Global and Local Awareness: Combine Reinforcement Learning and Model-Based Control for Collision Avoidance
Global and Local Awareness: Combine Reinforcement Learning and Model-Based Control for Collision Avoidance Open
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 improve computation…
View article: Specific Fuel Oil Consumption Models for Simulating Energy Consumption of Wellboats
Specific Fuel Oil Consumption Models for Simulating Energy Consumption of Wellboats Open
Aquaculture is the second-largest export industry in Norway. The Norwegian Government has committed to reducing CO2 emissions by 55% by 2030 through the Paris Agreement. Wellboats are highly specialised vessels transporting and handling li…
View article: Unsupervised Anomaly Detection in Marine Diesel Engines using Transformer Neural Networks and Residual Analysis
Unsupervised Anomaly Detection in Marine Diesel Engines using Transformer Neural Networks and Residual Analysis Open
This paper presents a novel unsupervised approach for detecting anomalies in marine diesel engines using a Transformer Neural Network based autoencoder (TAE) and residual analysis with Sequential Probability Ratio Test (SPRT) and Sum of Sq…
View article: Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models
Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models Open
Navigation safety is of paramount importance in areas with heavy and complex maritime traffic. Any ship navigating such a scenario should be able to foresee the future positions of other ships and adjust its path accordingly to avoid colli…
View article: Knowledge transfer strategy for enhancement of ship maneuvering model
Knowledge transfer strategy for enhancement of ship maneuvering model Open
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 about the system, th…
View article: Bridging similar ships’ dynamics for safeguarding the system identification of maneuvering models
Bridging similar ships’ dynamics for safeguarding the system identification of maneuvering models Open
System identification (SI) approach identifies ship maneuvering models using data from free-running maneuvers. As it is impossible to comprehensively validate model performance, a reliable model must be built within a consistent range with…
View article: Ship maneuvering model optimization for improved identification with less excitation
Ship maneuvering model optimization for improved identification with less excitation Open
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 calculating with profes…
View article: Constrained control allocation for dynamic ship positioning using deep neural network
Constrained control allocation for dynamic ship positioning using deep neural network Open
Dynamic positioning (DP) is one of the key technologies towards ship autonomy. Ships in DP mode use thruster devices to maintain position and perform low-speed maneuvering. The motion controller issues force requests according to the measu…
View article: Table of Contents
Table of Contents Open
Traffic accident prediction method for Jiangsu section of the
View article: Preface for Human-Like Smart Autonomous Driving for Intelligent Vehicles and Transportation Systems
Preface for Human-Like Smart Autonomous Driving for Intelligent Vehicles and Transportation Systems Open
View article: Hydrodynamic and Environmental Modelling Influence on Numerical Analysis of an Innovative Installation Method for Floating Wind
Hydrodynamic and Environmental Modelling Influence on Numerical Analysis of an Innovative Installation Method for Floating Wind Open
View article: Informative Physics Knowledge Transfer to Enhance Data-Driven Ship Trajectory Prediction
Informative Physics Knowledge Transfer to Enhance Data-Driven Ship Trajectory Prediction Open
View article: Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems in Epidemic Areas
Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems in Epidemic Areas Open
The COVID-19 pandemic has posed significant challenges to transportation systems in various aspects, such as transferring patients and medical resources, enforcing physical distancing in public transportation, and controlling virus transmi…
View article: Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction
Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction Open
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 cooperative model tha…
View article: Effect of fender system on the dynamic response of onsite installation of floating offshore wind turbines
Effect of fender system on the dynamic response of onsite installation of floating offshore wind turbines Open
This paper discusses a new installation method for floating offshore wind with installation procedure, essential variables, and fender system effects on the dynamic responses. The conventional installation method involves mating wind turbi…
View article: Table of Contents
Table of Contents Open
View article: Directional wave spectrum estimation with ship motion responses using adversarial networks
Directional wave spectrum estimation with ship motion responses using adversarial networks Open
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 estimated from motio…