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Purpose <p>In rail transportation, track irregularity is one of the main sources of vehicle vibrations. Analysing and managing track irregularity is crucial for ensuring the safety and stability of high-speed trains. In recent years, new types of rail transportation systems have emerged. Among them, the high-temperature superconducting (HTS) pinning maglev system exhibits the potential for high-speed operation. However, the sensitive wavelengths of irregularities for the HTS pinning maglev vehicle running at high speeds are not clear, and this will also affect the engineering construction of the track.</p> Method <p>In this paper, a vehicle system dynamic model of the HTS pinning maglev is established. Irregularity samples are obtained based on the power spectral density (PSD) function of high-speed maglev track irregularities. By decomposing the irregularity samples using the Empirical Mode Decomposition (EMD) method, various Intrinsic Mode Functions (IMFs) are obtained. The IMFs are used as irregularity excitations to investigate their impact on vehicle safety and stability.</p> Results and Conclusions <p> As a time-frequency decomposition algorithm, EMD can preserve the local features of the original irregularity in the IMFs, thus reflecting the impact of occasional local irregularities on vehicle operation safety. The results indicate that under the excitation of high-speed maglev track irregularities, the dynamic performance of HTS pinning maglev is satisfactory, and has a sufficient safety margin. By controlling the amplitude of specific wavelength components in track irregularities, the HTS pinning maglev vehicle can achieve better stability. This study provides insights into the sensitive wavelengths and irregularity management of the HTS pinning maglev system under high-speed operation.</p>

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Analysis of the Influence of EMD-Based Irregularity Components on the Vibration Response of the HTS Pinning Maglev Vehicle Under High-Speed Operation

  • 期刊论文

  • 发表日期：

    2025年10月7日

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  • Xucheng Zhou,
  • Yuchen He,
  • Haitao Li,
  • Li Wang,
  • Yan Li,
  • Zigang Deng

摘要

Purpose

In rail transportation, track irregularity is one of the main sources of vehicle vibrations. Analysing and managing track irregularity is crucial for ensuring the safety and stability of high-speed trains. In recent years, new types of rail transportation systems have emerged. Among them, the high-temperature superconducting (HTS) pinning maglev system exhibits the potential for high-speed operation. However, the sensitive wavelengths of irregularities for the HTS pinning maglev vehicle running at high speeds are not clear, and this will also affect the engineering construction of the track.

Method

In this paper, a vehicle system dynamic model of the HTS pinning maglev is established. Irregularity samples are obtained based on the power spectral density (PSD) function of high-speed maglev track irregularities. By decomposing the irregularity samples using the Empirical Mode Decomposition (EMD) method, various Intrinsic Mode Functions (IMFs) are obtained. The IMFs are used as irregularity excitations to investigate their impact on vehicle safety and stability.

Results and Conclusions

As a time-frequency decomposition algorithm, EMD can preserve the local features of the original irregularity in the IMFs, thus reflecting the impact of occasional local irregularities on vehicle operation safety. The results indicate that under the excitation of high-speed maglev track irregularities, the dynamic performance of HTS pinning maglev is satisfactory, and has a sufficient safety margin. By controlling the amplitude of specific wavelength components in track irregularities, the HTS pinning maglev vehicle can achieve better stability. This study provides insights into the sensitive wavelengths and irregularity management of the HTS pinning maglev system under high-speed operation.