MURAL - Maynooth University Research Archive Library

    A Prototype for Monitoring Railway Vehicle Dynamics Using Inertial Measurement Units

    Medeiros, Leandro and Silva, Pedro Henrique Oliveira and Valente, Lucas de Castro and Nepomuceno, Erivelton (2018) A Prototype for Monitoring Railway Vehicle Dynamics Using Inertial Measurement Units. In: 2018 13th IEEE International Conference on Industry Applications (INDUSCON). IEEE, pp. 149-154. ISBN 978-1-5386-7995-1

    Download (1MB) | Preview

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    The dynamics of railway vehicles have changed from an essentially mechanical application into one that requires knowledge of sensors, electronics and computational processing. Industry 4.0 is a term that describes industrial activity by intelligent systems and solutions established on the concept of the Internet of Things (IoT). The present work illustrates the application of a conceptual cycle of an Internet of Things building a prototype, consisting on acquisition, processing and communication of data in the industrial context. Specifically, the monitoring of the dynamics of wagons using inertial sensors and algorithms that establish the fusion of sensors. The use of refined methods shows more reliable results in the use of low-cost sensors. Furthermore, the implementation of wireless communication enables the use of data in the creation of more complex analyses that can be applied in computational and instrumentation tools.

    Item Type: Book Section
    Keywords: railway vehicle dynamics; internet of things; sensor fusion; Kalman filter;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16860
    Identification Number:
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 16 Jan 2023 17:04
    Publisher: IEEE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads