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  • 1.
    Bergquist, Bjarne
    et al.
    Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, Industriell ekonomi.
    Söderholm, Peter
    Swedish Transport Administration. Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, Industriell ekonomi.
    Graphical methods for railway track condition assessment and prognostics2019Conference paper (Other academic)
    Abstract [en]

    This paper presents graphical methods for monitoring, diagnostics, and prognostics of the condition of railway infrastructure as support to maintenance planning. The paper also uses graphics to aid univariate, bivariate and multivariate analyses of large datasets of secondary data for linear asset condition assessment in the temporal and spatial domains. We present graphical methods useful for evaluating how the asset degrades and how maintenance actions affect the track condition within different time horizons. Hence, the infrastructure manager and the contracted entrepreneur can share a common view of the asset’s current and future condition, as well as maintenance effectiveness. 

    Download full text (pdf)
    fulltext
  • 2.
    Bergquist, Bjarne
    et al.
    Luleå tekniska universitet, Industriell Ekonomi.
    Söderholm, Peter
    Luleå tekniska universitet, Industriell Ekonomi.
    Predictive Modelling for Estimation of Railway Track Degradation2016In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadu; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag , 2016, p. 331-347Conference paper (Refereed)
    Abstract [en]

    The degradation processes affecting railway track condition depends both on the resistance of the track and on the stresses subjected to it. Regarding the stresses, both their magnitudes and cycles are of importance when considering the degradation. Furthermore, the stresses have some regularity and variability in the time domain, while the degradation resistance of a track has some spatial regularity as well as variability. In addition, the condition measurements of track may be both irregular and contain measurement errors. Hence, it is challenging to model the condition of track to enable predictions and condition-based maintenance. However, wear prediction models could help to change large parts of the maintenance practice from predominantly corrective to preventive if both the deterministic and the stochastic components of the wear process can be estimated with sufficient accuracy. In this study, one-step-ahead predictions have been used for establishing prognostic models based on repeated measurements of railway track geometry to estimate track wear properties, degradation rates and stochastic behaviour including measurement errors. The prognostic models have then been used for condition assessment and state predictions. Repeated sampling allows for estimations of measurement errors, but the irregular sampling need to be accounted for by interpolation in the time series modelling approach

  • 3.
    Bergquist, Bjarne
    et al.
    Luleå tekniska universitet, Industriell Ekonomi.
    Söderholm, Peter
    Luleå tekniska universitet, Industriell Ekonomi.
    Kauppila, Osmo
    Industrial Engineering and Management, University of Oulu, Finland.
    Vanhatalo, Erik
    Luleå tekniska universitet, Industriell Ekonomi.
    Cleaning of Railway Track Measurement Data forBetter Maintenance Decisions2019In: Proceedings of the 5th International Workshop and Congress on eMaintenance: eMaintenance: Trends in Technologies & methodologies, challenges, possibilites and applications / [ed] Miguel Castano Arranz; Ramin Karim, Luleå University of Technology , 2019, p. 9-15Conference paper (Refereed)
    Abstract [en]

    Data of sufficient quality, quantity and validity constitute a sometimes overlooked basis for eMaintenance. Missing data, heterogeneous data types, calibration problems, or non-standard distributions are common issues of operation and maintenance data. Railway track geometry data used for maintenance planning exhibit all the above issues. They also have unique features stemming from their collection by measurement cars running along the railway network. As the track is a linear asset, measured geometry data need to be precisely located to be useful. However, since the sensors on the measurement car are moving along the track, the observations’ geographical sampling positions come with uncertainty. Another issue is that different seasons and othertime restrictions (e.g. related to the timetable) prohibit regular sampling. Hence, prognostics related to remaining useful life (RUL) are challenging since most forecasting methods require a fixed sampling frequency.

    This paper discusses methods for data cleaning, data condensation and data extraction from large datasets collected by measurement cars. We discuss missing data replacement, dealing with autocorrelation or cross-correlation, and consequences of not fulfilling methodological pre-conditions such as estimating probabilities of failures using data that do not follow the assumed distributions or data that are dependent. We also discuss outlier detection, dealing with data coming from multiple distributions, of unknown calibrations and other issues seen in railway track geometry data. We also discuss the consequences of not addressing or mishandling quality issues of such data. 

  • 4.
    Candell, Olov
    et al.
    Saab Aerotech, Aircraft Services Division, Linköping, SE-581 88, Sweden.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Söderholm, Peter
    Luleå tekniska universitet, Industriell Ekonomi.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Server-oriented information logistics as support to intelligent transport services2010In: 16th World Congress and Exhibition on Intelligent Transport Systems 2009: 16th ITS World Congress ; Stockholm, Sweden, 21 - 25 September 2009, Curran Associates, Inc. , 2010Conference paper (Refereed)
    Abstract [en]

    Today‟s society is dependent on an increasing volume of transportation services, which contributes to escalating requirements on economy, dependability, safety, and sustainability of applied transportation systems. When dealing with complex transportation systems with long life cycles, maintenance is fundamental to ensure these critical requirements. The increasing requirements and the technological development have also lead to the emerging approach of eMaintenance, which applies innovative Information & Communication Technology (ICT) to achieve effective information logistics for maintenance purposes. This paper describes the role and development of service-oriented eMaintenance solutions to enable intelligent transportation services and some related research efforts within railway and aviation.

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    FULLTEXT01
  • 5.
    Jägare, Veronica
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Juntti, Ulla
    Omicold AB, Luleå, Sweden.
    Söderholm, Peter
    Trafikverket (Swedish transport administration), Sweden.
    A framework for testbed concept in railway2019In: Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019) / [ed] P.O. Larsson-Kråik; A. Ahmadi, International Heavy Haul Association (IHHA) , 2019, p. 986-Conference paper (Refereed)
    Abstract [en]

    One major prerequisite for an effective implementation and innovation process is the enablement and provision of a collaborative environment. A common area for multi-organisational collaboration together with a technology platform, enabling data sharing and Big Data Analytics, has been developed called ‘Testbed Railway’ with a corresponding framework ‘Railway 4.0’. Testbed Railway can be used to strengthen the railway industry's adaptability and competitiveness by developing and providing a testbed for research and innovation in the rail industry, nationally and internationally.

  • 6.
    Jägare, Veronica
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Söderholm, Peter
    Trafikverket.
    Larsson-Kråik, Per-Olof
    Trafikverket.
    Juntti, Ulla
    Omicold AB.
    Change management in digitalised operation and maintenance of railway2019In: PROCEEDINGS: International Heavy Haul Association Conference June 2019, 2019, p. 904-911Conference paper (Refereed)
    Abstract [en]

    Globally, railway is experiencing a major technology transformation (or paradigm shift), triggered by the enhanced utilisation of digital technology. This technological transformation affects not only the technical systems, i.e. railway infrastructure and rolling stock, but also regulations, organisations, processes,and individuals. Hence, hardware, software, but also liveware (i.e. humans) are affected. Today, the digitalisation of railway is characterised by digital services. There are also a range of challenges, e.g. data acquisition,transformation, modelling, processing, visualisation, safety, security, quality, and information assurance. To deal with these challenges, the railway industry needs to define strategies, which enable a smooth transformation of the existing configuration to a digitalised system. Digital railway requires a holistic change management approach based on system-of-systems thinking and a set of appropriate technologies and methodologies. The railway digitalisation strategy should be based on systematic risk management that address aspects of, e.g., information security, traffic safety and project risk. In addition, managing changes for a digitalised railway effectively and efficiently also requires a framework for aspects such as needs finding, requirement identification, and impact of changes for individual, teams and organisation. In this work a major case studywithin the ePilot, has been performed in context of the operation and maintenance processes of the Swedish railway. Therefore, this paper aims to propose a framework for implementing innovations and driving change in a digitalised railway.

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    FULLTEXT01
  • 7.
    Söderholm, Peter
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    An enterprise risk management framework for evaluation of eMaintenance2010In: Proceedings of the 1st international workshop and congress on eMaintenance, Luleå tekniska universitet , 2010, p. 133-140Conference paper (Refereed)
    Abstract [en]

    Maintenance is one approach to manage risk by a reduction of the probability of failure of technical systems and/or the consequences of their failure. However, history has shown that erroneous maintenance also can lead to reduced quality, incidents and accidents with extensive losses.

    Today, eMaintenance promises great opportunities for a paradigm shift from a rather narrow condition-based maintenance approach with focus on technical system health to a true risk-based maintenance approach that considers organisational excellence. This is achieved by proper information logistic solutions that address the needs of all stakeholders of the maintenance process, which are possible due to new and innovative Information & Communication Technology (ICT).

    However, all opportunities are also linked with some threats, which seldom are highlighted in the case of eMaintenance. In this paper, a risk management framework for evaluation of eMaintenance solutions is proposed. The framework is based on a combination of international standards (e.g. ISO 31000, ISO/IEC 27000, and IEC 60300-3-14) to achieve integrated Enterprise Risk Management (ERM) and enable a linkage of eMaintenance to strategic goals of an organisation. The framework is illustrated in the context of the Swedish Rail Administration.

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    FULLTEXT01
1 - 7 of 7
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