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Research on characteristic frequency extraction and sound source identification of electromagnetic noise of medium and low speed maglev train

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Abstract

For the operational noise of a medium-low speed maglev train, this paper proposes a method to achieve sound source identification based on characteristic frequency extraction and coherence analysis through continuous cross wavelet transform. Field tests were conducted on a main line in China on the operational noise, vibration and traction current of linear induction motor in the medium-low speed maglev train. The proposed method was applied to the test data to analyze the operational noise properties. The characteristic frequencies were extracted from all the three test target signals for coherence analysis through continuous cross wavelet transform, which verifies the transmission characteristics of electromagnetic noise. The coherence spectrum of noise-vibration signal and current-vibration signal showed that the operational noise in the starting and braking stages mainly originates from the high-frequency vibration excited by the high-frequency harmonics in the traction current of the traction motor.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 51975487, No. U2034210), China, Postdoctoral Science Foundation (No. 2022M722633), China, the Natural Science Foundation of Sichuan Province (No. 2022NSFSC1991, No. 2022NSFSC0395), China, and the Fundamental Research Funds for the Central Universities (No. 2682022CX011), China.

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Authors and Affiliations

  1. School of Mechanical Engineering, Southwest Jiaotong University (SWJTU), Chengdu, 610031, China

    Chunjun Chen, Fengyu Ou & Ji Deng

  2. Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Southwest Jiaotong University (SWJTU), Chengdu, 610031, China

    Chunjun Chen

  3. School of Mechanical Engineering, Xihua University (XHU), Chengdu, 610039, China

    Xiaokang Liao

Authors
  1. Chunjun Chen
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  2. Fengyu Ou
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  3. Xiaokang Liao
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  4. Ji Deng
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Corresponding author

Correspondence to Chunjun Chen.

Additional information

Chunjun Chen received the Ph.D. from Southwest Jiaotong University in 2006 and the M.A. from University of Electronic Science and Technology of China in 1993. He is a Professor of Mechanical Engineering, Southwest Jiaotong University, director of Department of Measurement and Control and Mechanoelectronic Measurement and Control Laboratorial Center and Deputy Director of the Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province. His interests are in the area of vibration, noise and aerodynamics of high-speed trains, traffic equipment, electromechanical systems, advanced control and measurement theory, electromechanical control and measurement system.

Fengyu Ou received the B.S. in Mechanical and Electronic engineering from China University of Petroleum (East China) in 2020. He is currently a postgraduate student in Mechanical Engineering, Southwest Jiaotong University, Sichuan, China. His research interests include mechatronics, control and measurement and medium-low speed maglev train.

Xiaokang Liao received the B.S. from Wuhan Polytechnic University in 2015, M.S. in Mechanical Engineering, Southwest Jiaotong University in 2018, Ph.D. from the Laboratory of Traction Power of Southwest Jiaotong University in 2022. Now he is a lecturer in Mechanical Engineering, Xihua University.

Ji Deng received the B.E. from the School of Instrument Science and Optoelectronics Engineering from Hefei University of Technology, Hefei, China, in 2014, and the Ph.D. from the School of Precision Instrument and Opto-Electronics Engineering from Tianjin University, Tianjin, China, in 2021. He is currently an Assistant Professor of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China. His research interests include rail transit smart operation & maintenance, 3D sensing and related applications.

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Chen, C., Ou, F., Liao, X. et al. Research on characteristic frequency extraction and sound source identification of electromagnetic noise of medium and low speed maglev train. J Mech Sci Technol 37, 4467–4476 (2023). https://doi.org/10.1007/s12206-023-0805-y

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  • DOI: https://doi.org/10.1007/s12206-023-0805-y

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