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

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

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    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.
    1
    Original languageEnglish
    Title of host publicationPHME 2020
    Subtitle of host publication Proceedings of the 5th European Conference of the Prognostics and Health Management Society
    EditorsAnibal Bregon, Kamal Medjaher
    Pages1-13
    ISBN (Electronic)978-1-936263-32-5
    Publication statusPublished - 31 Jul 2020
    EventFifth European Conference on the Prognostics and Health Management Society 2020 - Virtual conference, Virtuell, Italy
    Duration: 27 Jul 202031 Jul 2020
    http://phmeurope.org/2020/

    Conference

    ConferenceFifth European Conference on the Prognostics and Health Management Society 2020
    Abbreviated titlePHME20 Conference
    Country/TerritoryItaly
    CityVirtuell
    Period27/07/2031/07/20
    Internet address

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