Sökning: "parametric sensitivity analysis"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden parametric sensitivity analysis.

  1. 1. Wind Turbine Recovery Forecasting using Survival Analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Anton Palets; [2023]
    Nyckelord :Survival analysis; Recovery Forecast; Wind Turbine; Availability Forecast; AFT model; Aalen s model; Cox regression; Cox Proportional Hazards; Variation Processes; Mathematics and Statistics;

    Sammanfattning : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. LÄS MER

  3. 2. Knowledge-Based Engineering Application For Fuselage Integration And Cabin Design

    Master-uppsats, Linköpings universitet/Fluida och mekatroniska system

    Författare :Nikhil Bhargav; Vasanth Elangovan; [2023]
    Nyckelord :Commercial aircraft; Liquid Hydrogen; Cabin Design; LH2 Tank Integration; Sustainability; Knowledge Based Engineering; Tank Integration; Web Based Application;

    Sammanfattning : The pace of development in aviation technology is increasing, and there is a constantneed for new concepts to keep up. An innovative concept is desired to reach the netzero emission and sustainability target visualized in Flight path 2050. LÄS MER

  4. 3. Evaluation of efficiency and measures of improvement for Rail Freight Corridors in Europe

    Master-uppsats, KTH/Transportplanering

    Författare :Anna Ståhlberg; [2022]
    Nyckelord :;

    Sammanfattning : To be able to achieve the environmental goals of the European union according to the Green Deal, the transportation of freight with railways needs to be prioritized. Right now, a large portion of the pollution in the European Union comes from the transportation market. LÄS MER

  5. 4. Modelling rare events using non-parametric machine learning classifiers - Under what circumstances are support vector machines preferable to conventional parametric classifiers?

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Lukas Ma; [2021-04-06]
    Nyckelord :;

    Sammanfattning : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classifiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. LÄS MER

  7. 5. Parametric Studies of Train-Track-Bridge Interaction : An evaluation of the dynamic amplification due to track irregularities for freight transport

    Master-uppsats, KTH/Bro- och stålbyggnad

    Författare :Rasmus Elm Dahlman; Emil Lundberg; [2021]
    Nyckelord :Dynamics; dynamic amplification factor; railway bridge; train-track-bridge interaction; vehicle model; track irregularities; PSD; Dynamisk förstoringsfaktor; dynamik; järnvägsbroar; tåg-spår-bro interaktion; fordonsmodell; spårojämnheter; PSD;

    Sammanfattning : In this thesis a train-track-bridge interaction (TTBI) model is developed in order to study the dynamic amplification from track irregularities on railway bridges traversed by freight trains. These simulations are of great importance since rail freight transport is expected to increase in order to meet the climate goals. LÄS MER