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Predictive digital twin for offshore wind farms
(Peer reviewed; Journal article, 2023)As wind turbines continue to grow in size, they are increasingly being deployed offshore. This causes operation and maintenance of wind turbines becoming more challenging. Digitalization is a key enabling technology to ... -
Predictive Digital Twin of an Unmanned Surface Vehicle
(Master thesis, 2022)Systems of the present day are getting increasingly complex with a higher degree of autonomy in performing safety-critical tasks. Digital twins, that are capable of representing these systems digitally throughout their ... -
Predictive Digital Twin of Wind Farm
(Master thesis, 2022)Det nåværende prosjektet er industri 4.0 digital tvilling for havvindpark som er et forsøk på å forske på de nyeste teknologiene, presentere og utvikle en digital infrastruktur for vindparker. Det vil tillate brukere å ... -
Predictive evolution of metabolic phenotypes using model-designed environments
(Peer reviewed; Journal article, 2022)Adaptive evolution under controlled laboratory conditions has been highly effective in selecting organisms with beneficial phenotypes such as stress tolerance. The evolution route is particularly attractive when the organisms ... -
Predictive feedback boundary control of semilinear and quasilinear 2 × 2 hyperbolic PDE–ODE systems
(Peer reviewed; Journal article, 2022)We present a control design for semilinear and quasilinear 2 × 2 hyperbolic partial differential equations with the control input at one boundary and a nonlinear ordinary differential equation coupled to the other. The ... -
Predictive Machine Learning in Semiconductor Production
(Master thesis, 2022)Når Microchip Technology produserer halvledere, produseres store mengder data. Dette prosjektet konstruerer flere datasett som inneholder denne dataen, og finner at maskinlæringsalgoritmer kan brukes med wafer-baserte ... -
Predictive Machine Learning in Semiconductor Production
(Master thesis, 2022)Når Microchip Technology produserer halvledere, produseres store mengder data. Dette prosjektet konstruerer flere datasett som inneholder denne dataen, og finner at maskinlæringsalgoritmer kan brukes med wafer-baserte ... -
Predictive Maintenance and Analytics in Hydroelectric Power Plants
(Master thesis, 2023)I lys av det digitale grønne skiftet, energikrisen i Europa og fremveksten av et mer konkurransepreget energimarked, er det essensielt å utforske vedlikehold strategien prediktivt vedlikehold innen vannkraft sektoren. Denne ... -
Predictive Maintenance and Battery Management for wireless sensors.
(Master thesis, 2019)Wireless sensor networks (WSNs) becomes an emerging technology and has been adopted by several companies for data communication and processing. Many leading companies use wireless sensor’s network for different purposes. ... -
Predictive maintenance and digital twin
(Master thesis, 2020)Ved utviklingen av industri 4.0 begynner vedlikeholdsstrategien å bevege seg mot forutsigbart vedlikehold for å gi dynamisk støtte til vedlikeholdsingeniører. I mellomtiden gir digitaliseringen en grunnleggende erkjennelse ... -
Predictive Maintenance for an Industrial Application - Contribution to Maintenance Modelling Utilizing Petri Nets with Predicates
(Master thesis, 2018)In the current industrial scenario, maintenance activities are recognized as a strategic issue. With the increasing demands of the maintenance organizations, maintenance policies have to ensure that physical assets will ... -
Predictive Maintenance for Synchronizing Maintenance Planning with Production
(Chapter, 2018)With the immense pressure to sustain competitive in European manufacturing, the strategy of digitalizing in this industry sector is indeed necessary. With the onset of new ICT technology and big data capabilities, the ... -
Predictive Maintenance in Building Automation & HVAC Systems
(Master thesis, 2023)Masteroppgaven fokuserer på implementering av prediktive vedlikeholdsteknikker i bygningsautomasjon og HVAC-systemer (oppvarming, ventilasjon og luftkondisjonering). Forskningen tar sikte på å utvikle en modell som kan ... -
Predictive Maintenance of Norwegian Road Network Using Deep Learning Models
(Journal article; Peer reviewed, 2023) -
Predictive Maintenance using Digital Twin for Cyber Physical System A case study analysis on role of predictive maintenance for improving productivity and quality using simulation model(Heating Tunnel) of CP factory.
(Master thesis, 2023)Forutseende vedlikehold har utviklet seg til å bli en viktig del av industriell produksjon fordi det bidrar til å redusere nedetid, øke effektiviteten og forbedre kvaliteten på produktene. Med fremveksten av cyberfysiske ... -
Predictive maintenance, methods and implementation
(Master thesis, 2019)Conventional preventive maintenance strategies and condition monitoring methods are often deficient in accounting for complex behavior of most industrial systems. These methods, capable of assessing health of components ... -
A predictive model for the wettability of chalk
(Peer reviewed; Journal article, 2020)Wettability is usually measured in special core analyses of limited plug samples according to typically costly and time-consuming procedures. For comparative purposes, wettability is considered an index. The two most ... -
A predictive model unifying hydrogen enhanced plasticity and decohesion
(Peer reviewed; Journal article, 2022)The detrimental effect of hydrogen on metals which manifests itself as a transition from a ductile to a brittle failure mode is, for the first time, incorporated into a unified continuum-scale predictive framework. The ... -
Predictive modeling of glass forming ability in the Fe-Nb-B system using the CALPHAD approach
(Journal article, 2017)Accurate values needed for the most commonly used indicators of good Glass Forming Ability (GFA) in alloys, i.e. the liquidus (Tl), crystallization (Tx) and glass transition (Tg) temperatures, are only available after ... -
Predictive Modeling Using Pseudo-Social Networks Derived from Transaction Data
(Master thesis, 2022)Å ligge et steg foran trender er viktig for bedrifter som ønsker å ivareta et konkurransefortrinn. I en verden som blir stadig mer digitalisert, så må bedrifter tilpasse seg det teknologiske skiftet ved å tilegne seg nye ...