Acceleration sensor technology for rail track asset condition monitoring

    Research output: Contribution to journalArticleResearchpeer-review

    • 2 Citations

    Abstract

    In the rail traffic industry, the utilisation of inexpensive real-time sensors and the industrial internet of things for proactive asset management is a relatively new concept with great potential. As railways are one of the longest-lasting infrastructure assets, even marginal efficiency and cost gains have a significant impact on the life-cycle cost. This paper shows how wireless three-dimensional acceleration sensor technology can be applied to monitor track condition. The data collection was carried out in October 2016 on a railway line operated by Finnish Railways. In the test, a sensor was attached to a train unit and the acceleration of the train on a track segment was repeatedly measured at variable speeds. The collected data set was enhanced using map-matching and Bayesian filtering in order to improve the Global Positioning System location accuracy of the data. The filtered acceleration signals were analysed, and detected anomalies were compared against known parameters such as bridges and switches. The results of the testing support the feasibility of the concept. Finally, the implications of the concept regarding proactive asset management of track networks and statistical process control-based monitoring of tracks’ condition are discussed.

    LanguageEnglish
    Pages32-40
    Number of pages9
    JournalProceedings of Institution of Civil Engineers: Management, Procurement and Law
    Volume171
    Issue number1
    DOIs
    Publication statusPublished - 5 Feb 2018

    Fingerprint

    Railroad tracks
    Condition monitoring
    Rails
    Asset management
    Sensors
    Statistical process control
    Global positioning system
    Costs
    Life cycle
    Switches
    Monitoring
    Testing
    Rail
    Assets
    Railway
    Sensor
    Industry
    Train

    Keywords

    • Information technology/maintenance & inspection/railway systems

    OKM Publication Types

    • A1 Refereed journal article

    OKM Open Access Status

    • 0 Not Open Access

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Business, Management and Accounting(all)
    • Safety, Risk, Reliability and Quality

    Cite this

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    title = "Acceleration sensor technology for rail track asset condition monitoring",
    abstract = "In the rail traffic industry, the utilisation of inexpensive real-time sensors and the industrial internet of things for proactive asset management is a relatively new concept with great potential. As railways are one of the longest-lasting infrastructure assets, even marginal efficiency and cost gains have a significant impact on the life-cycle cost. This paper shows how wireless three-dimensional acceleration sensor technology can be applied to monitor track condition. The data collection was carried out in October 2016 on a railway line operated by Finnish Railways. In the test, a sensor was attached to a train unit and the acceleration of the train on a track segment was repeatedly measured at variable speeds. The collected data set was enhanced using map-matching and Bayesian filtering in order to improve the Global Positioning System location accuracy of the data. The filtered acceleration signals were analysed, and detected anomalies were compared against known parameters such as bridges and switches. The results of the testing support the feasibility of the concept. Finally, the implications of the concept regarding proactive asset management of track networks and statistical process control-based monitoring of tracks’ condition are discussed.",
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    Acceleration sensor technology for rail track asset condition monitoring. / Känsälä, Klaus; Rantala, Seppo; Kauppila, Osmo; Leviäkangas, Pekka.

    In: Proceedings of Institution of Civil Engineers: Management, Procurement and Law, Vol. 171, No. 1, 05.02.2018, p. 32-40.

    Research output: Contribution to journalArticleResearchpeer-review

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