Sökning: "Räls"
Visar resultat 1 - 5 av 39 uppsatser innehållade ordet Räls.
1. Vehicle dynamics modelling of electromagnetic suspensions for MAGLEV applications
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : MAGnetic LEVitation Guidance System (MAGLEV) technology was commercially introduced relatively recently in the guided transport field. It is based on removing the wheels and rails of classic railway systems and supporting and guiding the train with magnets and magnetic forces instead. LÄS MER
2. En grönare järnväg
Uppsats för yrkesexamina på grundnivå, Lunds universitet/Trafik och vägSammanfattning : Detta arbete är en utredning av hur järnvägskonstruktionens emissioner ser ut vid anläggning. Den samlade datan har översatts i ett matematiskt uttryck som ger ett minsta årtal för när en neutraliseringshorisont för projektet kan nås. LÄS MER
3. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. LÄS MER
4. Analysis of Positional Precision when Using Ground Control Points with Supported INS in GNSS-Free Environments
Master-uppsats, KTH/Fastigheter och byggandeSammanfattning : Railway traffic is one of the most used transportation methods in today's society both for freight transports and transportation of people. A necessity for this to function is that the tracks upon which the trains travel are functional. LÄS MER
5. Artificial Intelligence applications for railway signalling
Master-uppsats, KTH/TransportplaneringSammanfattning : The main purpose of this Master Thesis is to investigate how front-facing, train-mounted cameras and Computer Vision, a type of Artificial Intelligence (AI), can be used to compensate for GPS inaccuracies. By using footage from track-recording cameras, Computer Vision can be utilized to determine the number of tracks and the track occupancy of the train, which would compensate GPS inaccuracies in the lateral positioning. LÄS MER