Browsing Institutt for maskinteknikk og produksjon by Title
Now showing items 821-840 of 4068
-
Decision Variables for Inbound Transportation Redesign in a Chemical Manufacturing Supply Chain
(Journal article; Peer reviewed, 2019)With respect to process manufacturing industries, there has been limited research on inbound transportation management in the literature. While some of the methods and strategies developed in the discrete manufacturing ... -
Decision-oriented Operational Risk Assessment: Contributions to the understanding of operational risk in the oil and gas industry
(Doctoral theses at NTNU;2017:71, Doctoral thesis, 2017) -
DECRIS - Risk and Decision Systems for Critical Infrastructures. Metode og verktøy for en samlet risikovurdering av kritiske infrastrukturer
(SINTEF Rapport;, Research report, 2009)Prosjektet DECRIS er finansiert av Norges forskningsråd under SAMRISK-programmet. Det er et samarbeidsprosjekt mellom SINTEF, FFI og NTNU. Prosjektet har utviklet og tilpasset metoder for risikovurdering for kritisk ... -
Deep digital maintenance
(Journal article; Peer reviewed, 2017)With the emergence of Industry 4.0, maintenance is considered to be a specific area of action that is needed to successfully sustain a competitive advantage. For instance, predictive maintenance will be central for asset ... -
Deep Learning Driven Approaches for Predictive Maintenance: A Framework of Intelligent Fault Diagnosis and Prognosis in the Industry 4.0 Era
(Doctoral theses at NTNU;2018:132, Doctoral thesis, 2018) -
Deep Learning in Construction Safety: Quality Assessment, Hazard Identification, and Preventive Measure Proposals in Job Safety Analysis
(Master thesis, 2023)Denne studien utforsker hvordan maskinlæring og dyplæring kan brukes til å forbedre sikker jobbanalyse i byggebransjen, som er kjent for høye ulykkesrater. Forskningen er basert på data fra 2019 til 2023, samlet inn fra ... -
Deep Learning-Based Anomaly Detection System for Centrifugal Pumps: Enhancing Predictive Maintenance in the Offshore Industry
(Master thesis, 2023)Den moderne offshore-petroleumsindustrien, med sitt store antall tilstandssystemer, genererer enorme mengder data som er klare til å utnyttes. Med hjelp av avanserte overvåkingssystemer og dataanalyse, tilbyr prediktivt ... -
Deep Learning-Based Anomaly Detection System for Centrifugal Pumps: Enhancing Predictive Maintenance in the Offshore Industry
(Master thesis, 2023)Den moderne offshore-petroleumsindustrien, med sitt store antall tilstandssystemer, genererer enorme mengder data som er klare til å utnyttes. Med hjelp av avanserte overvåkingssystemer og dataanalyse, tilbyr prediktivt ... -
Defining Local Stress-Strain Fields in Ductile Components under Cyclic Loading
(Master thesis, 2018)Subsea power cables consist of an extruded lead alloy sheathing, which act as a protective layer against water penetration. The lack of research and framework for advanced fatigue calculations of lead has made it difficult ... -
Defining Organizational Context for Corporate Sustainability Assessment: Cross-Disciplinary Approach
(Journal article; Peer reviewed, 2017)Extensive research has already been conducted on the technical aspects of a Sustainability Assessment (SA) at a company level, i.e., Corporate Sustainability Assessment (CSA). However, previous research paid little attention ... -
Defining Project Efficiency, Effectiveness and Efficacy
(Journal article, 2017)Purpose This paper studies how the concepts of efficiency, effectiveness and efficacy are used in project management literature. The concepts relate to the degree of success or failure of projects and the degree to which ... -
Defining project partnering
(Journal article, 2017)Purpose – Due to observed problems in real-life projects stemming from the lack of a unified definition, the purpose of this paper is to formulate a new definition of project partnering (PP) through documenting the specific ... -
Defining Project Partnering
(Journal article, 2017)Purpose Due to observed problems in real-life projects stemming from the lack of a unified definition, the purpose of this paper is to formulate a new definition of project partnering (PP) through documenting the specific ... -
Defining Requirements Through Prototype-Driven Development of a High Temperature Thermomechanical Testing Machine
(Master thesis, 2020)Abstract will be available on 2023-07-01 -
Deformation characteristics in a stretch-based dimensional correction method for open, thin-walled extrusions
(Journal article; Peer reviewed, 2021)Dimensional accuracy of incoming components is crucial for automated welding and assembly in mass volume production. However, thin-walled extrusions made to industrial standards show severe dimensional variations, including ... -
Degradation Modelling for Predictive Maintenance - An Application to High Voltage Rotary Machines
(Master thesis, 2017)Large high voltage rotary machines are commonly utilized in gas processing plants for operations such as dewatering and compression. The availability of these machines are very critical as the operation down times are ... -
Degradation of DEET and DEP by Ozonation using pCBA as a Hydroxyl Radicals Probe Compound
(Master thesis, 2015)The main aim of this thesis was to examine and describe the process of ozonation of two chosen micopollutants present in grey water. These micropollutants are: n,n-diethyl-m-toluamide (DEET) and diethyl phthalate (DEP). ... -
Delays for passenger trains on a regional railway line in southern Sweden
(Journal article; Peer reviewed, 2017)The aim of this article is to study how selected variables influence delays in train traffic. Data has been collected on train movements, timetables, weather and capacity utilization on a highly utilized single-track railway ... -
Demand Forecasting Based On Short Univariate Time Series: A Comparative Study
(Master thesis, 2021)Demand forecasting has been studied extensively because it serves as an input to other decision processes in an organisation. Imprecise forecasts can lead to stock-outs, lost-sales or overstocking, thus not meeting the ... -
Demonstrating the Feasibility of Multimodal Neuroimaging Data Capture with a Wearable Electoencephalography + Functional Near-Infrared Spectroscopy (EEG+FNIRS) in Situ
(Peer reviewed; Journal article, 2021)We developed a wearable experimental sensor setup featuring multimodal EEG+fNIRS neuroimaging applicable for in situ experiments of human behavior in interaction with technology. A low-cost electroencephalography (EEG) was ...