Essays about: "järnvägsfordon"

Showing result 1 - 5 of 7 essays containing the word järnvägsfordon.

  1. 1. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ziyou Li; [2023]
    Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

    Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE

  3. 2. Estimating the load weight of freight trains using machine learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Kongpachith; [2023]
    Keywords : Railway freight Transport; Rail Vehicle Weighing; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Machine Learning; Regression; Polynomial Regression; Regression Trees; Random Forest Regression; Support Vector Regression; Järnvägsgods transport; Vägning av järnvägsfordon; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Maskininlärning; Regression; Polynom Regression; Regressionsträd; Random Forest Regression; Support Vector Regression;

    Abstract : Accurate estimation of the load weight of freight trains is crucial for ensuring safe, efficient and sustainable rail freight transports. Traditional methods for estimating load weight often suffer from limitations in accuracy and efficiency. READ MORE

  4. 3. Pantograph-catenary wear modelling using dynamic simulation

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Gaston Holmström; [2022]
    Keywords : Wear modelling; catenary pantograph interaction; mechanism; conditional; railway; slitagemodellering; kontaktledning pantograf interaktion; mekanism; konditionell; järnväg;

    Abstract : Wear condition modelling is a research topic which lately has increased in popularitydue to its significance to the railway industry. Large sums are spent on maintenanceof the network every year, which has generated a demand for understanding and predictingwear mechanisms in a multitude of components within both railway vehiclesand infrastructure. READ MORE

  5. 4. Improving the validation of a railway vehicle model in the virtual certification process

    University essay from KTH/Spårfordon

    Author : Bente de Leeuw; [2021]
    Keywords : Rail vehicle dynamics; Rail vehicles; Rail profiles; wheel profiles; model validation; Dynamik; järnvägsfordon; järnvägsprofiler; hjulprofiler; modellvalidering.;

    Abstract : Before vehicles can be placed in service it has to complete an authorisation process. At the moment,this process is largely depended on tests. This is, however, an expensive and long process. With new technologies and improved simulations this process can be shortened and the costs can be lowered. READ MORE

  6. 5. Fault diagnosis of axlebox roller bearings of high speed rail vehicles based on empirical mode decomposition and machine learning

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : JOSUA KEHLENBACH; [2021]
    Keywords : Condition monitoring; axlebox bearings; machine learning; data fusion; Nyckelord: tillståndsövervakning; axelboxlager; maskininlärning; datafusion;

    Abstract : Axlebox bearings are one of the most critical components of a rail vehicle with regard to safety. An axlebox bearing that breaks during operation can be dangerous for the passengers and expensive for the operator. In-service failure of axlebox bearings has been the cause of many catastrophic accidents. READ MORE