Completed projects

Hybrid models for machinery diagnosis and prognosis

Madhav Mishra, Juhamatti Saari, Matti Rantatalo & Uday Kumar

Integrated Reliability Analysis for Maintenance Strategies Optimization

Janet Lin & Uday Kumar

Risk-based inspection intervals for railway infrastructure

Alireza Ahmadi

RAMS analysis of railway signalling systems

Amparo Morant

Rock and Machine Interface

Rajib Ghosh, Håkan Schunnesson & Uday Kumar

Improvement of Railway Infrastructure Capacity through Effective Maintenance

Stephen Famurewa, Behzad Ghodrati, Matti Rantatalo & Uday Kumar

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 characteristics.

eMaintenance infrastructure for enhanced information logistics

Olov Candell, Alireza Ahmadi & Ramin Karim

eMaintenance solutions to Effective Decision-making in maintenance

Mustafa Aljumaili, Yasser Ahmed Mahmood, Olov Candell & Ramin Karim

Study of Maintenance Threshold Limits

Iman Arasteh khouy & PO Larson Kråik

Optimum Maintenance & LCC of mobile drilling machines in mining applications

Hussan Hamodi, Jan Lundberg & Behzad Ghodrati

eMaintenance solutions for predictive maintenance support

Liangwei Zhang, Ramin Karim and Phillip Tretten

Context-driven maintenance decision support in eMaintenance

Liangwei Zhang, Ramin Karim & Phillip Tretten

Link and effect model application through life cycle cost and return of investment analysis

Christer Stenström, Aditya Parida & Uday Kumar

Remaining Useful Life Estimation of Mining Machinery

Farzaneh Ahmadzadeh, Jan Lundberg & Behzad Ghodrati

RAMS analysis of railway signalling systems

Amparo Morant

OptiKrea - Optimal methods for innovative product development and decision support

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.

Anomaly detection using Support vector machines on overhead contact wire

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.

A pre-study on wheel/rail interface friction management

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.

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 requirements related to railway punctuality in order to support systematic improvements. The focus is on delay causes related to infrastructure maintenance.

Automain

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.

Bothnian Green Logistic Corridor (BGLC))

The aim of the project is to present quantifiable, green, resource-efficient and reliable transport solutions that meet the needs of the future.

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 detection in high-dimensional data. The efficacy of the approach is demonstrated in analytical studies and numerical illustrations.

Dependability and safety evaluation of railway signalling systems based on field data

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.

Developing a method for the specification and selection criteria for technical systems and equipment

The aim of the project is to develop methods to find optimal technical specifications and optimal selection of the products.

Development and Implementation of RAMS and LCC Model for Railway Track System

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 ...

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, develop, adjust and integrat resources (hard and software) to suit set requirements.

Development of life cycle cost model and analyses for railway switches and crossings

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...

Development of SVM model for reliability analysis of railway system

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.

Operation of large power systems with small amounts of physical inertia

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...

Dynamic Maintenance Programme

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.

Effective maintenance execution with human factor interventions

To develop easy to implement guidelines for good maintenance practices through human factor interventions.

Evaluation of wayside condition monitoring technologies for condition-based maintenance of railway v

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.

Pre study: RAMS/LCC in the planning phase

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...

Published:6 September 2017

Updated: 20 October 2017

By:Richard Renberg

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