The invention discloses a wheel polygon detection method and device for a high-speed railway and a medium, and relates to the technical field of data detection, and the method comprises the steps: carrying out the preprocessing of a collected vertical vibration acceleration signal of an axle box, and obtaining a low-frequency signal; obtaining a target short-time domain signal based on the low-frequency signal, and resampling the target short-time domain signal to obtain an angular domain signal; extracting multi-scale kurtosis features of the angular domain signals based on empirical mode decomposition; and constructing a neural network model, training the neural network model based on the polygonal axle box vibration signals of different orders and amplitudes, generating a wheel polygonal detection model, and obtaining a wheel damage identification result. Through combination of multi-scale kurtosis feature extraction and a neural network model, fine vibration changes caused by wheel damage can be captured from different frequencies and time scales, high-precision data acquisition and detection of polygon damage of wheels can be realized, damage of different orders and amplitudes can be accurately identified, and train operation safety is guaranteed.

    本发明公开了一种高速铁路的车轮多边形检测方法、设备和介质,涉及数据检测技术领域,包括:对采集到的轴箱垂向振动加速度信号进行预处理,得到低频信号;基于低频信号得到目标短时域信号,对目标短时域信号进行重采样,得到角域信号;基于经验模态分解提取角域信号的多尺度峭度特征;构建神经网络模型,基于不同阶次和幅值的多边形车轮轴箱振动信号对神经网络模型进行训练,生成车轮多边形检测模型,得到车轮损伤识别结果。通过多尺度峭度特征提取和神经网络模型的结合,能够从不同频率和时间尺度上捕捉车轮损伤引起的细微振动变化,能够实现对车轮多边形损伤的高精度数据采集和检测,准确识别不同阶次和幅值的损伤,保障列车运行安全。


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    Titel :

    Wheel polygon detection method and device for high-speed railway and medium


    Weitere Titelangaben:

    一种高速铁路的车轮多边形检测方法、设备和介质


    Beteiligte:
    FU NA (Autor:in) / QI WEI (Autor:in) / XIAO HANG (Autor:in) / QIN CHAOZHAO (Autor:in) / LUO GUOFENG (Autor:in)

    Erscheinungsdatum :

    27.05.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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