Browsing NTNU Open by Author "Skjong, Stian"

A real-time simulator framework for marine power plants with weak power grids

Skjong, Stian; Pedersen, Eilif (Journal article, 2017)

This work takes aim at presenting a generic real-time simulation framework for marine power plants with weak power grids, containing transient functionalities such as starting and stopping of arbitrary generators, and phase ...

AMADEA - Adaptable Maritime Decision Support Architecture

Kyllingstad, Lars Tandle; Skjong, Stian; Ladstein, Jarle; Haugen, Joakim (Research report, 2023)

Here, we present a reference model for maritime decision support systems. We establish a common terminology for the components and structure of such systems, describe a number of general-purpose components that can be ...

Co-Simulation of a Marine Offshore Vessel in DP-Operations Including Hardware-In-the-Loop (HIL)

Skjong, Stian; Pedersen, Eilif (Chapter; Peer reviewed, 2017)

In this work, a co-simulation case study of a marine offshore surface vessel in Dynamic Positioning (DP) operation, where the DP-controller is placed on an Arduino® micro-controller, is presented. The reasons for using ...

Complementarity of Data-Driven and Simulation Modeling Based on the Power Plant Model of the Offshore Vessel

Swider, Anna; Skjong, Stian; Pedersen, Eilif (Chapter; Peer reviewed, 2017)

Nowadays, there are more ships equipped with on-board monitoring systems and vessels with many sensors are becoming a standard. Available measurements can be employed for system optimization which play an important role ...

Crane Rig: An Experimental Setup for Developing and Verifying New Control Methods for Marine Crane Operations

Evang, Thomas; Skjong, Stian; Pedersen, Eilif (Chapter; Peer reviewed, 2017)

This paper will present the derivation of dynamic equations describing the motion of a knuckleboom crane for marine vessels. The dynamics will be derived using Lagrange’s equation, the theory of virtual work and generalized ...

Data-driven sea state estimation for vessels using multi-domain features from motion responses

Han, Peihua; Li, Guoyuan; Skjong, Stian; Wu, Baiheng; Zhang, Houxiang (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 ...

A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data

Han, Peihua; Li, Guoyuan; Skulstad, Robert; Skjong, Stian; Zhang, Houxiang (Peer reviewed; Journal article, 2020)

Vessels today are being fully monitored, thanks to the advance of sensor technology. The availability of data brings ship intelligence into great attention. As part of ship intelligence, the desire of using advanced ...

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 ...

Distributed Co-Simulation of Maritime Systems and Operations

Sadjina, Severin Simon; Kyllingstad, Lars Tandle; Rindarøy, Martin; Skjong, Stian; Æsøy, Vilmar; Pedersen, Eilif (Journal article, 2018)

Here, we present the concept of an open virtual prototyping framework (VPF) for maritime systems and operations that enables its users to develop reusable component or subsystem models, and combine them in full-system ...

A distributed object-oriented simulator framework for marine power plants with weak power grids

Skjong, Stian; Pedersen, Eilif (Peer reviewed; Journal article, 2022)

In this work, we discuss and demonstrate how multi-engine marine power plants with weak power grids efficiently can be set up and simulated in a distributed co-simulation framework. To facilitate configuration switching ...

Energy conservation and power bonds in co-simulations: non-iterative adaptive step size control and error estimation

Sadjina, Severin Simon; Kyllingstad, Lars Tandle; Skjong, Stian; Pedersen, Eilif (Journal article; Peer reviewed, 2017)

A Framework for Condition Monitoring and Risk-Based Decision Support Involving a Vessel State Observer

Han, Xu; Leira, Bernt Johan; Sævik, Svein; Radhakrishnan, Gowtham; Skjong, Stian; Kyllingstad, Lars Tandle (Chapter, 2021)

Digital twins have attracted significant attention across different domains for decades. In the maritime and the energy industries, digital twins have been mainly used for system condition monitoring, project visualization, ...

Hybrid power plant concepts for marine vessels

Wang, Chunsheng (Master thesis, 2017)

As the requirements of energy supply for ships and marine vessels are becoming more rigorous and complex, new power supply methods are in highly interests in recent years. Flywheels used for energy storage have been used ...

investigation of hybrid power plant configurations for an offshore vessel with co-simulation approach

Malekibagherabadi, Kamyar; Skjong, Stian; Bruinsma, Jogchum; Pedersen, Eilif (Peer reviewed; Journal article, 2023)

This work presents a full-system simulator consisting of a generic power system integrated with a vessel model and real-time capabilities. The whole system simulation facilitates evaluating the overall system performance ...

Lumped, constrained cable modeling with explicit state-space formulation using an elastic version of Baumgarte stabilization

Skjong, Stian; Reite, Karl-Johan; Aarsæther, Karl Gunnar (Peer reviewed; Journal article, 2021)

This paper presents a modeling approach for efficient simulation of slender structures, such as wires, cables and ropes.Lumped structural elements are connected using constraints.These are solved explicitly, using an elastic ...