Blar i Fakultet for ingeniørvitenskap (IV) på tittel
Viser treff 4600-4619 av 23007
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Data pre-processing and optimization techniques for stochastic and deterministic low-order grey-box models of residential buildings
(Journal article; Peer reviewed, 2021)Grey-box models are data-driven models where the structure is defined by the physics while the parameters are calibrated using data. Low-order grey-box models of the building envelope are typically used for two main ... -
Data Set from Long-Term Wave, Wind, and Response Monitoring of the Bergsøysund Bridge
(Peer reviewed; Journal article, 2023)Wind, wave, displacement, and acceleration data have been collected in a measurement campaign on Norway’s Bergsøysund Bridge, an end-supported pontoon bridge, between the years 2014 and 2018. The data set is now available ... -
Data Visualization for the Evaluation of Safety Stock Method Performance in Manufacturing Inventory Management
(Master thesis, 2023)Denne masteroppgaven ble gjennomført i sammenheng med innovasjonsprosjektet DigiMat ved Norges Teknisk-Naturvitenskapelige Universitet (NTNU) gjennom vårsemesteret 2023. Oppgavens ambisjon var å undersøke hvordan produsenter ... -
Data-Based Modelling of Ships for Motion Prediction and Control Allocation
(Doctoral theses at NTNU;2021:383, Doctoral thesis, 2021)Vessels operating on the surface of the ocean are exposed to an array of disturbances. These may come in terms of environmental disturbances, but may also come from signal loss. Modelling the behaviour of ships using ... -
A data-based structural health monitoring approach for damage detection in steel bridges using experimental data
(Journal article; Peer reviewed, 2022)There is a need for reliable structural health monitoring (SHM) systems that can detect local and global structural damage in existing steel bridges. In this paper, a data-based SHM approach for damage detection in steel ... -
Data-driven analysis of electricity use for office buildings: a Norwegian case study
(Peer reviewed; Journal article, 2021)Buildings are major consumers of primary energy and main contributors to carbon emission. To improve energy efficiency, it is essential to understand the characteristics of energy use in buildings. This study uses an in-use ... -
Data-Driven Analysis of Vessel Performance
(Master thesis, 2017)In this thesis the relation between vessel performance and various vessel and environmental variables were investigated using a data-driven approach. A total of 12 variables such as speed over ground and days since drydock ... -
A data-driven approach for fault diagnosis of drivetrain system in a spar-type floating wind turbine based on the multi-point acceleration measurements
(Peer reviewed; Journal article, 2022)This paper deals with the condition monitoring of a floating wind turbine drivetrain using multi-point acceleration measurements. Single sensor data obtained from drivetrain system may provide insufficient information about ... -
Data-driven approach to design fatigue-resistant notched structures
(Peer reviewed; Journal article, 2022)Fatigue is the most common failure mode for engineering materials in various industrial applications. Generally, designing new products and components based on typical deterministic fatigue design approaches is slow and ... -
A Data-driven Approach to Learning Salience Models of Indoor Landmarks by Using Genetic Programming
(Journal article; Peer reviewed, 2020) -
Data-driven approaches for identifying risk factors in indoor environment during a surgery
(Master thesis, 2022)Surgical site infection (SSI) is one of the common complications after surgeries. It results in various consequences, from additional treatment to morbidity and mortality. Therefore, it increases the probability and duration ... -
Data-driven approaches for modelling of sub-critical coal-fired boiler
(Chapter, 2022)Due to increasing shares of renewable electricity sources in the grid, thermal power plants need to operate in a more flexible manner in the future. This will involve more frequent startups, shutdowns, and load changes. A ... -
Data-Driven Approaches to Diagnostics and State of Health Monitoring of Maritime Battery Systems
(Chapter, 2023)Battery systems are increasingly being used for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion and maneuvering is growing. In order to ensure the safety ... -
Data-driven battery modeling of hybrid power systems for offshore vessels
(Master thesis, 2021)Maritim næring øker stadig fokuset på effektive og miljøvennlige tiltak, og befinner seg nå i et grønt skifte. Dette bidrar til at det stadig kommer nye løsninger for å redusere drivstofforbruk og utslipp. Batteridrevne ... -
Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant
(Journal article; Peer reviewed, 2019)Beetle Antennae Search (BAS) is a newly developed nature-inspired algorithm, which falls in the class of single-solution driven metaheuristic techniques. This algorithm mimics the searching behavior of the longhorn beetles ... -
Data-driven Borehole Imaging and Monitoring
(Doctoral theses at NTNU;2017:329, Doctoral thesis, 2017) -
Data-driven control in marine systems
(Journal article; Peer reviewed, 2018)With the advent of cheap smart sensors installed on board marine vehicles and the increasing computational power of small embedded processors there is tremendous potential for the implementation of new strategies to control ... -
Data-driven derivative-free trust-region model-based method for resource allocation problems
(Peer reviewed; Journal article, 2023)Allocating a limited available resource between a set of units is a problem that arises in several application areas. We propose an online derivative-free trust-region model-based method to tackle a fairly general version ... -
Data-driven design for fault prognosis: Application to industrial components, subsystems, and systems
(Doctoral theses at NTNU;2023:419, Doctoral thesis, 2023)Technical processes in diverse industries, like manufacturing, chemicals, and power generation, involve intricate operations that aim to achieve specific outcomes. These operations often entail complex interactions among ... -
Data-Driven Efficiency Modeling and Analysis of All-Electric Ship Powertrain; A Comparison of Power System Architectures
(Peer reviewed; Journal article, 2021)In this paper, a data-driven dynamic efficiency model is developed for efficiency evaluation and comparison of ship electric powertrain with various system configurations and load-sharing methods. Based on the proposed ...