Sökning: "kth underhåll"

Visar resultat 1 - 5 av 412 uppsatser innehållade orden kth underhåll.

  1. 1. Buildings in the Digital Era : An Explorative Study of Digital Twins in the Built Environment

    Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.)

    Författare :Siw Kristine Kästel; Joanna Wallén; [2024]
    Nyckelord :Digital Twin DT ; Arcitecture; Engineering and Construction AEC industry; Digitization; Building Information Modeling BIM ; Facility Management FM ; Operation Management O M ; Digital Tvilling; Fastighetsbranschen; Fastighetsförvaltning; Byggnadsinformationsmodeller BIM ;

    Sammanfattning : In recent years, digital twins (DT) have gained traction in enhancing operation and maintenance procedures across various industrial sectors, such as manufacturing, energy, and aerospace. Yet their utilization remains more limited in the built environment. LÄS MER

  3. 2. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting

    Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Författare :Elie Roudiere; [2024]
    Nyckelord :Railway; Track geometry; Machine learning; Statistics; Predictive maintenance; Botniabanan; Järnväg; spårgeometri; maskininlärning; statistik; förebyggande underhåll; Botniabanan;

    Sammanfattning : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. LÄS MER

  4. 3. Bärighetsbedömning av skogsbroar

    Master-uppsats, KTH/Bro- och stålbyggnad

    Författare :Malin Rüegger; [2023]
    Nyckelord :;

    Sammanfattning : Det här arbetet behandlar bärigheten hos broar i skogsbilvägnätet. Den studerade brotypen är en vanligt förekommande stålbalkbro med träfarbana. Skogsbroarna, vilka används främst för virkestransporter, trafikeras sällan men trafiklasten är mycket tung. LÄS MER

  5. 4. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Javier Ferre Martin; [2023]
    Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER

  7. 5. Velocity Control of a Mobile Charger in a Wireless Rechargeable Sensor Network

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Emilia Haltorp; [2023]
    Nyckelord :Wireless Sensor Networks; Mobile Charger; Wireless Energy Transfer; Traveling Salesman Problem; Trådlösa Sensornätverk; Mobil laddare; Trådlös strömöverföring; Handelsresandeprobleme;

    Sammanfattning : Wireless sensor networks (WSN) are one of the most rapidly evolving technical areas right now. They can be used in a lot of different applications, environmental monitoring and health applications being two examples. The sensors can be placed in hazardous and remote environments since there is no need for cabling or manual maintenance. LÄS MER