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Guidelines for standardised classification and failure reporting for safety equipment in the petroleum industry, Ver 04
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Improved Pose Control of SLAM Robots
(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
(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
(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
(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
(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
(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
(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 ...