Blar i NTNU Open på tittel
Viser treff 34281-34300 av 100426
-
Fatigueless structures inspired by Nature: a case study
(Peer reviewed; Journal article, 2019)Biomimetic has begun to offer significant potential in providing unique solutions in materials science. However, the full potential of mimicking natural systems can be fully exploited only if we start to look the problem ... -
Fatique tool sensitivity analysis and design curves.
(Master thesis, 2016)The paper looks at fatique tool sensitivity analysis and design curves for aluminum high speed crafts. Spectral fatique method developed by Det Norske Veritas was used to achieve the objective. As only limited initial data ... -
Fatty acid composition of the postlarval daubed shanny (Leptoclinus maculatus) during the polar night
(Peer reviewed; Journal article, 2020)Recent discoveries of high levels of biological activity in the Arctic marine ecosystems during the polar night raise questions regarding the ecophysiology of the pelagic postlarval daubed shanny Leptoclinus maculatus. Of ... -
Fatty Acids Composition and HIV Infection: Altered Levels of n-6 Polyunsaturated Fatty Acids Are Associated with Disease Progression
(Peer reviewed; Journal article, 2023)Fatty acids (FAs) are important regulators of immune responses and innate defense mechanisms. We hypothesized that disturbed FA metabolism could contribute to the progression of HIV infection. Plasma levels of 45 FAs were ... -
Fatty Acids Composition of the Muscles of Leptoclinus maculatus (Stichaeidae) postlarvae from Kongsfjord and Rijpfjord, Spitsbergen
(Peer reviewed; Journal article, 2022)The fatty acids composition of total lipids and individual lipid classes (phospholipids and triacylglycerols) were studied in the muscles of daubed shanny Leptoclinus maculatus postlarvae at different stages of development ... -
Fault controlled pressure modelling in sedimentary basins /
(Dr. ingeniøravhandling, 0809-103X; 2000:22, Doctoral thesis, 2000)The starting point for this Dr. Ing. thesis was the requirement for models describing basin scale overpressure for use in basin modelling studies. It is necessary to identify, understand and describe both the generating ... -
Fault detection and classification in oil wells and production/service lines using random forest
(Peer reviewed; Journal article, 2020)This papers deals with the automatic detection and classification of faulty events during the practical operation of oil and gas wells and lines. The events considered here are part of the publicly available 3W database ... -
Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks
(Peer reviewed; Journal article, 2021)This paper describes the development of a fault detection and diagnosis method to automatically identify different fault conditions of a hydraulic blade pitch system in a spar-type floating wind turbine. For fault detection, ... -
Fault Detection and Diagnosis of Induction Motor for Ship Propulsion by utilizing Electrical Signature and Finite Element Method
(Master thesis, 2021)Induksjonsmotoren studert i denne masteroppgaven er en av to fremdriftsmotorer installert ombord polarforsynings- og forskningsfartøyet SA Agulhaus II og arbeidet er et bidrag til HealthProp-prosjektet (HealthProp 2020). ... -
Fault Detection and Prediction in Smart Grids
(Chapter, 2018)Modern society is to a larger and larger extent dependant on electric energy, and hence the reliance on and utilization of the electric grid is increasing steadily. At the same time the production and consumption patterns ... -
Fault Detection for Position Mooring Using Statistical Analysis
(Master thesis, 2018)The standard approach for detecting mooring line failures for position moored vessels is by measuring the tension in the mooring lines, either directly or indirectly. The sensors measuring the line tensions are often hard ... -
Fault detection in glucose control: Is it time to move beyond CGM data?
(Journal article; Peer reviewed, 2018)People with diabetes mellitus type 1 could benefit from fully automated systems for glucose control. However, faults in any component of the system can severely compromise the safety of the user. An increasing degree of ... -
Fault Detection of Drive Trains in 10 MW Offshore Wind Turbines using Non-Traditional Methods
(Master thesis, 2020)One of the world’s biggest concerns is global warming, a solution to this can be wind energy. Offshore wind energy has advantages over onshore wind energy, however, the levelized cost of energy is higher. The maintenance ... -
Fault Detection of Offshore Wind Turbine Drivetrain, State-of-the-Art, Development Trend and Role of Digital Twin
(Master thesis, 2019)Denne masteroppgaven gjennomgår noen av utfordringene vindmøller møter på og hvordan en modellbasert tilstandsovervåking og bruk av en digital tvilling vil være gunstig for lønnsomheten. Avhandlingen viser utviklingen av ... -
Fault Detection of Offshore Wind Turbine Drivetrain. State-of-the-Art, Development Trend and Role of Digital Twin
(Master thesis, 2019)Denne masteroppgaven gjennomgår noen av utfordringene vindmøller møter på og hvordan en modellbasert tilstandsovervåking og bruk av en digital tvilling vil være gunstig for lønnsomheten. Avhandlingen viser utviklingen av ... -
Fault detection of offshore wind turbine drivetrains in different environmental conditions through optimal selection of vibration measurements
(Peer reviewed; Journal article, 2023)In this study, a vibration-based fault detection method is proposed for offshore wind turbine drivetrain based on the optimal selection of the acceleration measurements. The main aim is to find the sensor positions mounted ... -
Fault Detection with LSTM-Based Variational Autoencoder for Maritime Components
(Journal article; Peer reviewed, 2021)Maintenance routines on ships today follow either a reactive maintenance (RM) or preventive maintenance (PvM) approach. RM can be regarded as post-failure repair, which might create large costs. PvM uses predetermined ... -
Fault Detection, Localization and Clearance for MMC based on Indirect Finite Control Set Model Predictive Control
(Chapter, 2023)In this paper, indirect finite control set model predictive control (I-FCS-MPC) is used for detecting, localizing, and tolerating open-circuit failures in the transistors without the use of arm voltage sensors. The fault ... -
Fault diagnosis of downhole drilling incidents using adaptive observers and statistical change detection
(Journal article; Peer reviewed, 2015)Downhole abnormal incidents during oil and gas drilling cause costly delays, and may also potentially lead to dangerous scenarios. Different incidents will cause changes to different parts of the physics of the process. ... -
Fault Diagnosis of Floating Wind Turbine Drivetrain- Methodologies and Applications
(Doctoral theses at NTNU;2018:286, Doctoral thesis, 2018)Increasing demand for renewable energy is driving innovation and attracting many research resources all over the world. Wind energy is one of the most promising sources of renewable energy. Wind turbine has been in use for ...