Institutt for havromsoperasjoner og byggteknikk
Recent Submissions
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Multilayer Spooling of High Performance Synthetic Fibre Ropes. Experimental investigations of rope properties and stresses in winch drums
(Doctoral theses at NTNU;2021:337, Doctoral thesis, 2021)Winch drums can appear as relatively simple mechanical components. However, accurate quantification of loads in multilayer winch-rope systems depends on a complex interaction between rope and drum. As vital parts of ... -
Data-Based Modelling of Ships for Motion Prediction and Control Allocation
(Doctoral theses at NTNU;2021:383, Doctoral thesis, 2021)Vessels operating on the surface of the ocean are exposed to an array of disturbances. These may come in terms of environmental disturbances, but may also come from signal loss. Modelling the behaviour of ships using ... -
Model-free anti-swing control of complex-shaped payload with offshore floating cranes and a large number of lift wires
(Peer reviewed; Journal article, 2021)Being one of the most commonly used offshore operations, offshore lifting operations become increasingly challenging due to the gradually growing size and weight of payloads. The research on automatic control in lifting ... -
Towards high-throughput microstructure simulation in compositionally complex alloys via machine learning
(Peer reviewed; Journal article, 2021)The coupling of computational thermodynamics and kinetics has been the central research theme in Integrated Computational Material Engineering (ICME). Two major bottlenecks in implementing this coupling and performing ... -
Development of a Life-cycle Cost Framework for Retrofitting Marine Engines towards Emission Reduction in Shipping
(Peer reviewed; Journal article, 2021)The shipping industry is striving to reduce its negative environmental footprint and become more energy-efficient. In order to achieve this, undergoing the transition towards innovative engine and propulsion systems is ... -
The emergence of lean construction in the Norwegian AEC industry
(Peer reviewed; Journal article, 2021)Lean construction has inspired the AEC industry globally over the last decades, and this manifests within a wide array of contexts. The purpose of this paper is to provide a narrative-based qualitative analysis of the ... -
Assessment of an Agile Concurrent Hybrid product development method for an Autonomous Mobile Forklift Concept
(Master thesis, 2021)Agile product development has been a model of choice for product development in a changing market such as in robotics. This study focuses on determining the most appropriate product development model for robotic product ... -
Path Planning of UnmannedUnderwater Vehicle (UUV ) forShortrange Fishnet Inspection Usingthe Hybrid A* Algorithm
(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 ... -
Navigating patterns analysis for on-board guidance support in crossing collision avoidance operations
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Data-driven sea state estimation for vessels using multi-domain features from motion responses
(Chapter, 2021)Situation awareness is of great importance for autonomous ships. One key aspect is to estimate the sea state in a real-time manner. Considering the ship as a large wave buoy, the sea state can be estimated from motion ... -
Development of a Deep Learning based Thrust Allocator for Dynamic Positioning of Fully Actuated Vessels
(Master thesis, 2021)Dynamic Position (DP) System is an important development in the history of marine vessels and has contributed to the development of various fields such as offshore oil and gas, offshore renewable energy, subsea pipelaying, ... -
Design av slepe-ROV
(Bachelor thesis, 2021)I denne oppgaven blir det utviklet flere konsepter for en fjernstyrt farkost, også kalt ROV (Remotely operated vehicle), som skal slepes fra båt, og styres opp og ned i dybden. Sammen med veiledere ble det valgt et konsept ... -
A multiple-output hybrid ship trajectory predictor with consideration for future command assumption
(Peer reviewed; Journal article, 2021)Onboard sensors contribute to data-driven understanding of complex and nonlinear ship dynamics in real time. By using sensors, precise ship trajectory prediction plays a key role in intelligent collision avoidance. A hybrid ... -
Evaluation of collaborative robots in a High Mix Low volume spare-kit packing line of a compressor industry in Norway through Lean Methodology
(Master thesis, 2021)Over the years, the level of automation has increased dramatically, and robots and the advancement of collaborative robotics have benefited the production industries greatly. Collaborative robots have been introduced as a ... -
Development of a manufacturing system for gear assembly using collaborative robots
(Chapter, 2021)Using robots in manufacturing processes is becoming more and more common. Robots can perform repetitive tasks that are not suitable for humans. Using robots in production can also save both time and money, as well as ... -
A Multilevel Convolutional Recurrent Neural Network for Blade Icing Detection of Wind Turbine
(Peer reviewed; Journal article, 2021)Blade icing detection becomes increasingly significant as it can avoid revenue loss and power degradation. Conventional methods are usually limited by additional costs, and model-driven methods heavily depend on prior ... -
Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades
(Peer reviewed; Journal article, 2021)Wind farms are usually located in high-latitude areas, which increases produced energy but creates a high risk of icing. Traditional methods of anti-blade-icing are limited by the extra cost and the potential damages to ... -
Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction
(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 ... -
Real-time digital twin of research vessel for remote monitoring
(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 ... -
Deep Reinforcement Learning based Energy Management in Marine Hybrid Vehicle
(Master thesis, 2021)Automatisering har nylig fått mye oppmerksomhet fra maritim industri. Selv om mye autonome navigasjoner har blitt lagt vekt på, er det også viktig å ta opp behovet for autonom kontroll av andre prosesser som energiledelse. ...
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