Wheel defects on railway wagons have been identified as an important source of damage to the railway infrastructure and rolling stock. They also cause noise and vibration emissions that are costly to mitigate. We propose two machine learning methods to automatically detect these wheel defects, based on the wheel vertical force measured by a permanently installed sensor system on the railway network. Our methods automatically learn different types of wheel defects and predict during normal operation if a wheel has a defect or not. The first method is based on novel features for classifying time series data and it is used for classification with a support vector machine. To evaluate the performance of our method we construct multiple data sets for the following defect types: flat spot, shelling, and non-roundness. We outperform classical defect detection methods for flat spots and demonstrate prediction for the other two defect types for the first time. Motivated by the recent success of artificial neural networks for image classification, we train custom artificial neural networks with convolutional layers on 2-D representations of the measurement time series. The neural network approach improves the performance on wheels with flat spots and non-roundness by explicitly modeling the multi sensor structure of the measurement system through multiple instance learning and shift invariant networks.


    Access

    Download


    Export, share and cite



    Title :

    Wheel Defect Detection With Machine Learning




    Publication date :

    2018-04-01


    Size :

    2816808 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Wheel tread defect detection system

    HE ZIMING / XU JIAN / WANG SHANSHAN et al. | European Patent Office | 2022

    Free access

    Wheel tread defect detection system and detection method

    ZHANG YU / ZHAO BO / PENG JIANPING et al. | European Patent Office | 2021

    Free access

    Railway vehicle wheel set defect detection device

    JIN GUANG / MA SHUAI / WANG ZIMING et al. | European Patent Office | 2021

    Free access

    Investigation of a wheel-rail roller rig for wheel-track defect detection

    Li, Jianbo / Shi, Hongmei / Guo, Qiyao | Taylor & Francis Verlag | 2023


    Wheel rim defect detection system based on TADS

    YANG ZHENGXI / QIAO SEN / MIAO XIN et al. | European Patent Office | 2024

    Free access