Research projects on Luleå Railway Research Center
Numerous projects are conducted on the JVTC platform. For these projects, JVTC has full responsibility to deliver high quality and benefits back to the participants. The majority of these projects are conducted at the Division Operation and Maintenance Engineering. JVTC also acts as a facilitator for all rail research at the university. Some projects are handled directly between LTU units and the project participants. These projects can often have a different focus than JVTC's ie. Operation and maintenance.
Current projects
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Snow galleries between Björkliden – Riksgränsen
Assessment of capacity and plans for structural health monitoring.
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Railway Digital Twin (AI Factory)
Develop and demonstrate a concept and a platform for enablement of Digital Twin in railway.
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Prestudy – Human AI Interface, AR, VR, UX
Kan träning av hjärnan minska risken för att äldre faller? Det vill forskare i fysioterapi vid Luleå tekniska universitet ta reda på. I rörelselabbet undersöks både kognitiv förmåga och balans hos äldre, samt hur dessa kan påverkas genom träningsprogram.
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Condition-Based Maintenance using Wayside Monitoring Systems
Maximize the usage of current wayside monitoring systems for CBM related issues.
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AI Factory MetaAnalyser®
A platform and toolkit for an autonomous cloud-based analytics using AI and cognitive services.
Completed projects
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Effects of top-of-rail friction modifiers on the friction, wear and cracks of railway rails
The goal of the research conducted for this project has been to investigate the effect of top-of-rai...
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Effective maintenance execution with human factor interventions
To develop easy to implement guidelines for good maintenance practices through human factor interven...
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Development of a demonstrator for eMaintenance for railway
To collect the necessary data from the research station on the Western Main Line and the Ore Railway...
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Development and Implementation of RAMS and LCC Model for Railway Track System
The application of RAMS (Reliability, Availability, Maintainability and Safety) analysis for railway...
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DeCoTrack, Track degradation modelling and analysis related to change in railway traffic
The model simulates changes in degradation rate of the track due to changes in traffic characteristi...
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Data processing method based on genetic algorithm for assuring maintenance
Prognostics of maintenance costs for electrical fans owned by Trafikverket is performed by using Gen...
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Condition monitoring, prediction and management of railway track assets
The aim of the project is to develop a predictive maintenance approach for the Stockholm subway and ...
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Condition Based Maintenance of Rail Infrastructure Using Internet of Things Loggers
Develop and field test IoT data loggers for condition based maintenance of rail infrastructure.
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Bothnian Green Logistic Corridor (BGLC)
The aim of the project is to present quantifiable, green, resource-efficient and reliable transport ...
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Big Data Analytics for Fault Detection and its Application in Maintenance
This research has developed an Angle-based Subspace Anomaly Detection (ABSAD) approach to fault dete...
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Bayesian reliability modeling for railway infrastructure
This new context driven Bayesian maintenance scenario will promote sustainable and cost-effective as...
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Automatic detection of railway fasteners and track defects
Automate the inspection of rail fasteners, defect insulation joints and other rail defects, using a ...
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Automain
The aim of the project is to make the movement of freight by rail more dependable, i.e. reliable, av...
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Aspects of improving punctuality: from data to decision in railway maintenance
The purpose of the research presented in this thesis is to explore and describe information and requ...
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ARINKA
Arctic Railway Infrastructure in Kolarctic.
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Anomaly detection using Support vector machines on overhead contact wire
The Support Vector Regression (SVR) is used to model the dependency between vertical acceleration an...
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AI-Human Collaboration for improved Situation Awareness in the maintenance domain
The goal of this project is to explore the human abilities to develop Situation Awareness of the cha...
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A pre-study on wheel/rail interface friction management
Important questions to address are e.g. the optimal friction value at low temperatures, application ...
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Anomaly detection and system diagnostics
The goal is to develop a train based system for monitoring track defects and rail track components.
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Roadmap for Life extension of the railway system
A roadmap containing a proposal for a dynamic framework that describes life extension of railway sys...
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RAMS for track
An approach, which assist track geometry maintenance decision making by improving the quality of the...
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Multi and interdisciplinary method to identify the true capacity of concrete bridges (TruBridges)
Enhance sustainability by reducing costs of strengthening or replacing existing bridges, by improvin...
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Lidar-based catenary data processing
AI Factory: Monitoring and access condition of asset using AI and point cloud data.
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Intelligent operation and maintenance for traction motor bearings
Context-driven intelligent operation and maintenance technology’s capability to perform condition mo...
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IN2TRACK3
Research into optimised and future railway Infrastructure 3.
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IN2SMART 2
Intelligent Innovative Smart Maintenance of Assets by IntegRated Technologies 2.
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FR8RAIL II, III & IV
Use-centric rail freight innovation for Single European Railway Area
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Equality and diversity in the rail industry
Current situation analysis and future recommendations.
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eMaintenance Solution for Enhanced Asset Management in Railway - Using Industrial AI
The project aims to streamline and optimize asset management and rail maintenance, with a focus on R...
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Climate resilient railway infrastructure: A system innovation approach (CliMaint2Innovate)
Investigate and perform barrier-enabler analyses of system innovation for successful implementation ...
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Autonomous maintenance of infrastructure, rolling stock and interfaces
Algorithms to detect and quantify defects of an S&C by means of on-site measurements data.
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A physics based framework to predict ballast degradation
Proposing a physics based framework to predict ballast degradation.