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Localization and image of metro vehicle bogie frame using guided waves

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Abstract

The health status of bogie directly affects the running quality and safety of metro vehicle. In view of the deficiencies of the existing inspection methods, this paper presents a baseline-free Structural Health Monitoring and management method to address the detection, localization and visualization of cracks in bogie frame using Guided Waves. First, we conduct a finite element simulation of steel bogie frame to determine the center excitation frequency. It helps to settle the mode that sensitive to cracks. And once the crack is detected, we use a wavelet method—Split Spectrum Processing to calculate the Time of Flight. It is more accurate for localization, compared with the traditional method based on Hilbert envelope. Finally, this paper proposes a direct time reversal imaging algorithm, which combine incident Guided Waves signals and reconstructed time-reversed counterparts. The result of practical experiment confirmed that this method could be used for detecting, locating and visualizing cracks in metro vehicle bogie frame accurately.

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Availability of data and material

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This work was supported by Beijing Natural Science Foundation (L201020).

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Authors and Affiliations

  1. State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China

    Guoqiang Cai, Kexin Liang & Yue Pan

  2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China

    Guoqiang Cai

  3. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China

    Ye Zhang

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  1. Guoqiang Cai
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Correspondence to Ye Zhang.

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Cai, G., Zhang, Y., Liang, K. et al. Localization and image of metro vehicle bogie frame using guided waves. Wireless Netw 28, 2323–2335 (2022). https://doi.org/10.1007/s11276-022-02906-0

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