Recent Submissions

  • Guidelines for standardised classification and failure reporting for safety equipment in the petroleum industry, Ver 04 

    Hauge, Stein; Håbrekke, Solfrid; Lundteigen, Mary Ann; Lee, Shenae; Ottermo, Maria Vatshaug (Research report, 2023)
    This document provides guidance on how to report and classify failure and maintenance data for safety equipment, as a basis for improved follow-up and future automation. Standardised equipment grouping, equipment properties ...
  • Principles of digitalisation and IT-OT integration 

    Hanssen, Geir Kjetil; Onshus, Tor; Jaatun, Martin Gilje; Myklebust, Thor; Ottermo, Maria Vatshaug; Lundteigen, Mary Ann (SINTEF AS (ISBN starter med 978-82-14-), Research report, 2023)
    The purpose of this report is to provide the industry with a greater understanding of ongoing digitalisation, status and challenges, and how this development should be managed going forward. This report is one of six SINTEF ...
  • Use of models in drilling 

    Ottermo, Maria Vatshaug; Onshus, Tor Engebret; Bjørkevoll, Knut Steinar (Research report, 2023)
    The purpose of this report is to discuss challenges and opportunities associated with the use of model-controlled operations, particularly relating to how the models and data from the models can be used in a safe way, both ...
  • Regulation of ICT security in the petroleum sector 

    Øien, Knut; Bodsberg, Lars; Jaatun, Martin Gilje; Myklebust, Thor; Onshus, Tor Engebret (Research report, 2023)
    The purpose of this report is to clarify how the protection of information and communication technology (ICT security) in the petroleum industry is regulated under current regulations and to shed light on the expectations ...
  • Information model for functional safety 

    Hauge, Stein; Lundteigen, Mary Ann; Ottermo, Maria Vatshaug; Lee, Shenae; Petersen, Stig (Research report, 2023)
    A main objective of this report has been to contribute toward further digitalisation and standardisation of the petroleum industry. In particular, the report explores: • How ideas from Industry 4.0 and the AAS (asset ...
  • Robust Phased Array Navigation in Reflective Prone Areas 

    Hasler, Oliver Kevin; Bryne, Torleiv Håland; Johansen, Tor Arne (Chapter, 2023)
    Navigation with a Phased Array Radio System (PARS) is prone to performance degradation due to radio wave reflections of the directed communication beam on reflective surfaces. This work presents a navigation algorithm, ...
  • Evaluating hyperspectral Secchi depth retrieval through hybrid modeling and regression 

    Bakken, Sivert; Luis, Kelly; Johnsen, Geir; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
    This work compares different regression models combined with hybrid modeling to estimate water clarity using hyper-spectral remote sensing data. The Secchi depth, a proxy of water clarity, can be modeled using first ...
  • Adaptive Kalman filter for on-line spectroscopic sensor corrections 

    Sbarbaro, Daniel; Johansen, Tor Arne; Yanez, JP (Peer reviewed; Journal article, 2023)
    Spectroscopic sensors provide online information about the composition and concentration of species in a sample by analyzing the interaction of light and matter. At the industrial scale, external variables such as temperature, ...
  • Accuracy of a slew maneuver for the HYPSO-1 hyperspectral imaging satellite — in-orbit results 

    Kristiansen, Bjørn Andreas; Langer, Dennis David; Garrett, Joseph Landon; Berg, Simen; Gravdahl, Jan Tommy; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
    In this paper, the accuracy of a slew maneuver performed by the HYPSO-1 satellite is analysed based on the data received during the satellite’s first months in orbit. The slew maneuver, during which the satellite turns ...
  • Leader-follower Dynamic Synchronization of Surface Vessels 

    Kyrkjebø, Erik; Pettersen, Kristin Ytterstad (Journal article, 2006)
    This paper introduces a dynamic leader-follower synchronization scheme for surface vessels that specifies the behavior of the follower vessels as they approach their desired position in a formation, or in a docking operation. ...
  • Comparing Filters for Correction of Second Order Diffraction Effects in Hyperspectral Imagers 

    Henriksen, Marie Bøe; Sigernes, Fred; Johansen, Tor Arne (Journal article; Peer reviewed, 2023)
    Second order diffraction effects often occur in hyperspectral instruments with dispersive elements. These second (and higher) order diffractions are typically unwanted, and should therefore be removed. One way of achieving ...
  • Semantics-aware Exploration and Inspection Path Planning 

    Dharmadhikari, Mihir Rahul; Alexis, Konstantinos (Chapter, 2023)
    This paper contributes a novel strategy for semantics-aware autonomous exploration and inspection path planning. Attuned to the fact that environments that need to be explored often involve a sparse set of semantic entities ...
  • Simulating Hyperspectral Datacubes for Ocean Color: A Foundation for Phytoplankton Recognition in Spectral Signatures 

    oudijk, AE; Johansen, Tor Arne; Johnsen, Geir; Alver, Morten Omholt (Journal article, 2023)
  • Improved Pose Control of SLAM Robots 

    Berg, Kristian Forsdahl (Master thesis, 2024)
    Dette prosjektet hadde som form ̊al ̊a bidra til en forbedret kjøreevne av SLAM-robotene gjen- nom ̊a ta en nærmere kikk p ̊a posisjonsestimatoren samt posisjonskontrolleren i programvaren installert p ̊a Nordic Semiconductor ...
  • Semantically-enhanced Deep Collision Prediction for Autonomous Navigation using Aerial Robots 

    Kulkarni, Mihir; Nguyen, Dinh Huan; Alexis, Konstantinos (Peer reviewed; Journal article, 2023)
    This paper contributes a novel and modularized learning-based method for aerial robots navigating cluttered environments containing hard-to-perceive thin obstacles without assuming access to a map or the full pose estimation ...
  • Polynomial Fitting of Operating Point Dependency in Small-Signal State-Space Models for Power Electronic Converters 

    Reis, Lisa; Smith, Andrew MacMillan; D'Arco, Salvatore; Suul, Jon Are Wold (Chapter, 2023)
    This paper presents an approach for representing nonlinear operating point dependencies in small-signal state-space modelling of power electronic converters. The intended application is for unifying a set of small-signal ...
  • Terrain Recognition and Contact Force Estimation through a Sensorized Paw for Legged Robots 

    Vangen, Aleksander; Barnwal, Tejal; Olsen, Jørgen Anker; Alexis, Konstantinos (Chapter, 2023)
    This paper introduces the Terrain Recognition And Contact Force Estimation Paw, a compact and sensorized shoe designed for legged robots. The paw end-effector is made of silicon that deforms upon the application of contact ...
  • Applying Vector Fitting for Measurement-based Multiple-Input Multiple-Output Model Identification of a Grid-Forming Converter 

    Reis, Lisa; Smith, Andrew MacMillan; D'Arco, Salvatore; Suul, Jon Are Wold (Chapter, 2023)
    This paper presents an approach for applying Vector Fitting (VF) to identify a small-signal state-space model of a power electronic converter represented as a multiple-input multiple-output (MIMO) system. A workflow for ...
  • Phased Array Radio Navigation System on UAVs: Real-Time Implementation of In-flight Calibration 

    Okuhara, Mika; Bryne, Torleiv Håland; Gryte, Kristoffer; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
    Unmanned aerial vehicles (UAV) require an alternative positioning system to the global navigation satellite systems (GNSS) for safety-critical operations since GNSS is prone to unintentional or malicious electromagnetic ...
  • Recursive Multi-Channel Prony for PMU 

    Khodaparast, Jalal; Fosso, Olav Bjarte; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2023)
    The phasor estimation process is important in monitoring, controlling and protecting power networks. Prony's method can be used as an estimator by which electrical power system parameters are approximated. The Prony algorithm ...

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