Development of an ideation method and a concept selection method specifically for groups acting in the context of the Swedish deregulated railway market, with members from different organizations with different functional knowledge.
The Support Vector Regression (SVR) is used to model the dependency between vertical acceleration and the other factor such as uplift, train speed, height of the wire. Correlation is used to find the significant factors which influence the vertical acceleration.
Important questions to address are e.g. the optimal friction value at low temperatures, application techniques, optimal surface topography for application of friction modifiers and techniques for measuring friction online/on-board.
The purpose of the research presented in this thesis is to explore and describe information and requirements related to railway punctuality in order to support systematic improvements. The focus is on delay causes related to infrastructure maintenance.
The aim of the project is to make the movement of freight by rail more dependable, i.e. reliable, available, maintainable and safe through the generation of additional capacity on the existing network.
This research has developed an Angle-based Subspace Anomaly Detection (ABSAD) approach to fault detection in high-dimensional data. The efficacy of the approach is demonstrated in analytical studies and numerical illustrations.
The purpose of this study is to propose tools to assess the dependability and safety of infrastructure signalling systems in the operation and maintenance phase, to support continuous improvement.
The application of RAMS (Reliability, Availability, Maintainability and Safety) analysis for railway infrastructure is limited. The focus of this thesis was therefore to demonstrate the applicability of RAMS and LCC analyses for railway infrastructure and present models for effective infrastructure ...
To collect the necessary data from the research station on the Western Main Line and the Ore Railway, develop, adjust and integrat resources (hard and software) to suit set requirements.
During the course of this research study, reliability and maintainability characteristics of switches and crossings are analysed using real data from Banverket. In addition, an LCC model is developed using information from Banverket. By applying this model, correct maintenance and investment decisio...
The aim of the research was to develop and demonstrate the applicability of SVM models to identify abnormal state and indentify the onset of failures in railway infrastructure.
The project has treated the experienced problems of the current instability in the railway power grid (also called the electrified traction grid). As the railway electricity network in Sweden has been expanded with an increased proportion of static converters has the proportion of physical inertia o...
An information logistic framework will be developed for increased effectiveness and efficiency of the dynamic maintenance program process, with regard to the goal levels of service qualities for different asset types throughout their whole life cycle.
The purpose of this thesis is to study and analyze wayside condition monitoring equipment for railway vehicles, in order to support the implementation of a condition-based maintenance strategy.
Syftet är att ta fram tillämpningar och metoder för att använda RAMS och LCC i projekteringsfasen. Målet är att öka funktions-, drift- och leveranssäkerhet samt underhållsmässigheten på järnvägsanläggningar genom att förändra projektörens beteende att förlita sig på föreskrifter istället för att med...