Blar i Institutt for elektro, IT, og kybernetikk på tittel
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Data-driven Modeling of Ship Motion Prediction Based on Support Vector Regression
(Journal article; Peer reviewed, 2017)This paper presents a flexible system structure to analyze and model for the potential use of huge ship sensor data to generate efficient ship motion prediction model. The noisy raw data is cleaned using noise reduction, ... -
Data-Driven Trajectory Prediction of Grid Power Frequency Based on Neural Models
(Peer reviewed; Journal article, 2021)Frequency in power systems is a real-time information that shows the balance between generation and demand. Good system frequency observation is vital for system security and protection. This paper analyses the system ... -
Decision Trees for Human Activity Recognition in Smart House Environments
(Journal article; Peer reviewed, 2018)Human activity recognition in smart house environments is the task of automatic recognition of physical activities of a person to build a safe environment for older adults or any person in their daily life. The aim of this ... -
Delayed density-dependent onset of spring reproduction in a fluctuating population of field voles
(Journal article; Peer reviewed, 2011)Delayed density-dependent demographic processes are thought to be the basis for multi-annual cyclic fluctuations in small rodent populations, but evidence for delayed density dependence of a particular demographic trait ... -
Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System
(Peer reviewed; Journal article, 2020)This paper presents a descriptive statistical analysis (DSA) of time-series of electro-mechanical quantities related to the frequency control (e.g. kinetic energy (KE), electrical frequency and power demand) of the Nordic ... -
Detecting emergence in engineered systems: A literature review and synthesis approach
(Peer reviewed; Journal article, 2023)Modern product development often generates systems of high complexity that are prone to emergent behavior. The industry has a need to establish better practices to detect inherent emergent behavior when engineering such ... -
Detecting emergence in engineered systems: A literature review and synthesis approach
(Peer reviewed; Journal article, 2023)Modern product development often generates systems of high complexity that are prone to emergent behavior. The industry has a need to establish better practices to detect inherent emergent behavior when engineering such ... -
Developing protective limiters for a hydro power controller in modelica
(Peer reviewed; Journal article, 2021)In recent years the operation of electrical power plants has become more and more challenging due to a more dynamic operation pattern in order to keep the voltage quality within the limits of what the electrical network ... -
Developing ultrasonic soft sensors to measure rheological properties of non-Newtonian drilling fluids
(Journal article; Peer reviewed, 2019)Surveillance of the rheological properties of drilling fluids is crucial when drilling oil wells. The prevailing standard is lab analysis. The need for automated real-time measurements is, however, clear. Ultrasonic ... -
Developing Voltage Droop/Compensation Controller for a Hydro Power Controller in Modelica
(Peer reviewed; Journal article, 2022)With the introduction of unregulated renewable energy such as wind, solar and tidal power, the operation of the electrical grid has become more and more challenging. The more dynamic production pattern requires more advanced ... -
Discrete LQ optimal control with integral action: A simple controller on incremental form for MIMO systems.
(Journal article; Peer reviewed, 2012)A simple Linear Quadratic (LQ) optimal controller of velocity (incremental) form with approximately the same properties as a conventional PID controller of velocity form is presented, i.e. integral action. The proposed ... -
Dynamic model adaptation to an anaerobicdigestion reactor of a water resource recoveryfacility
(Journal article; Peer reviewed, 2019)This study deals with model adaptation of the AM2 model to an anaerobic digestion reactor of a water resource recovery facility, namely a 6000m3 reactor at VEAS WWRF, the largest of Norway. The model is based on the mass ... -
Dynamic Model of an Ammonia Synthesis Reactor Based on Open Information
(Chapter; Peer reviewed, 2016)Ammonia is a widely used chemical, hence the ammonia manufacturing process has become a standard case study in the scientific community. In the field of mathematical modeling of the dynamics of ammonia synthesis reactors, ... -
Dynamic system calibration by system identification methods
(Chapter; Peer reviewed, 1997)Primary output variables from industrial processes can be estimated from known input variables and secondary process measurements. As a basis for this, the dynamic predictor has to be identi ed from data collected during ... -
Dynamic system multivariate calibration
(Journal article; Peer reviewed, 1998)In the first part of the paper, the optimal estimator for normally nonmeasured primary outputs from a linear, time invariant and stable dynamic system is developed. The optimal estimator is based on all available information ... -
Dynamic system multivariate calibration based on multirate sampling data
(Journal article; Peer reviewed, 2001) -
Dynamic system multivariate calibration for optimal primary output estimation
(Doctoral thesis; Peer reviewed, 1999)In industrial plants and other types of dynamic systems, it is a common situation that measurements of primary system outputs are not available on-line. The primary outputs may for example be quality properties, that can ... -
Dynamic system multivariate calibration with low-sampling-rate y data
(Journal article; Peer reviewed, 2000)When the data in principal component regression (PCR) or partial least squares regression (PLSR) form time series, it may be possible to improve the prediction/estimation results by utilizing the correlation between ... -
Dynamical BLUP modeling of reaction norm evolution, accommodating changing environments, overlapping generations, and multivariate data
(Peer reviewed; Journal article, 2023)For theoretical studies, reaction norm evolution in a changing environment can be modeled by means of the multivariate breeder's equation, with the reaction norm parameters treated as traits in their own right. This is, ... -
Economic Model Predictive Control for optimal struvite recovery
(Peer reviewed; Journal article, 2020)Resource recovery from municipal wastewater has been a prime focus for a decade. Although several recovery processes already exist in the market today, the high cost of material, inherent disturbance in the influent quality, ...