Data-driven fault diagnosis of bogie suspension components with on-board acoustic sensors

Felix Sorribes-Palmer, Bernd Luber, Josef Fuchs, Thomas Kern, Martin Rosenberger

    Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

    Abstract

    This paper proposes a data-driven approach for fault- detection and isolation of bogie suspension components with on-board acoustic sensors. The fault detection technique is based on the acoustic emissions variation due to structural modal coupling changes in the presence of faulty components. A suspensions component failure introduces an imbalance into the system, resulting in dynamics interferences between the motions. These interferences modify the energy introduced into the system as well as its acoustic emissions. The unknown arbitrary track irregularities generate together with a variable train speed a random nonstationary vehicle excitation. Speech recognition techniques were used to generate features that consider this phenomenon. Frequency spectrums were analysed in different operating conditions to design efficient features. The robustness of the methodology was verified with data from two different test measurement campaigns on a test ring, where the influence of the sensor locations for the fault classification process was studied. The proposed methodology achieved good fault classification performance on the investigated use cases, removed dampers and 50% damper degradation on primary and secondary vertical suspension.
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    Originalspracheenglisch
    TitelPHME 2020
    Untertitel Proceedings of the 5th European Conference of the Prognostics and Health Management Society
    Redakteure/-innenAnibal Bregon, Kamal Medjaher
    Seiten1-13
    ISBN (elektronisch)978-1-936263-32-5
    PublikationsstatusVeröffentlicht - 31 Juli 2020
    VeranstaltungFifth European Conference on the Prognostics and Health Management Society 2020 - Virtual conference, Virtuell, Italien
    Dauer: 27 Juli 202031 Juli 2020
    http://phmeurope.org/2020/

    Konferenz

    KonferenzFifth European Conference on the Prognostics and Health Management Society 2020
    KurztitelPHME20
    Land/GebietItalien
    OrtVirtuell
    Zeitraum27/07/2031/07/20
    Internetadresse

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