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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References
S. Choi, Interior noise of Korean high-speed trains in tunnels, Foreign Railway Vehicles, 53 (2016) 15–18.
S. Wang, W. Hu and R. Song, The management and assessment of environmental noise of urban rail transit system, 7th Advanced Forum on Transportation of China (AFTC 2011) (2011) 208–210.
N. Zhili and C. Yanmei, Experimental study of environmental noise induced by elevated rail transit of beijing metro line 5, 2010 International Conference on Mechanic Automation and Control Engineering (2010) 1984–1987.
Z. Xun, L. Xiaozhen and W. Guoqiang, Vibration and sound radiation of rail transit viaduct, 2011 International Conference on Electric Technology and Civil Engineering (ICETCE) (2011) 937–940.
J. Lyu, A prediction model of urban rail transit noise, 2020 International Conference on Communications, Information System and Computer Engineering (CISCE) (2020) 137–142.
H. Jang, Y. M. Kim and J. Chung, KTX’s interior noise reduction performance comparison for each section using multichannel active noise control, 2012 12th International Conference on Control, Automation and Systems (2012) 1265–1270.
H. M. Noh and J. W. Choi, Identification of low-frequency noise sources in high-speed train via resolution improvement, J. of Mechanical Science and Technology, 29 (9) (2015) 3609–3615.
Y. Moritoh, Y. Zenda and K. Nagakura, Noise control of high speed shinkansen, J. of Sound and Vibration, 193 (1996) 319–334.
C. Mellet, F. Letourneaux and F. Poisson, High speed train noise emission: latest investigation of the aerodynamic/rolling noise contribution, J. of Sound and Vibration, 293 (2006) 535–546.
S. G. Zhang, Noise mechanism, sound source localization and noise control of 350 km/h high-speed train, China Railway Science, 30 (1) (2009) 86–90.
A. K. Wallace, R. Spee and L. G. Martin, Current harmonics and acoustic noise in ac adjustable-speed drives, IEEE Transactions on Industry Applications, 26 (1990) 267–273.
R. J. M. Belmans, D. Verdyck and W. Geysen, Electromechanical analysis of the audible noise of an inverter-fed squirrel-cage induction-motor, IEEE Transactions on Industry Applications, 27 (1991) 539–544.
M. Tsypkin, Vibration of induction motors operating with variable frequency drives — A practical experience, 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel (IEEEI) (2014) 1–5.
I. S. Jang, S. H. Ham and W. H. Kim, Method for analyzing vibrations due to electromagnetic force in electric motors, IEEE Transaction on Magnetic, 50 (2) (2014) 297–300.
Y. Lu, J. Li and K. Yang, A hybrid calculation method of electromagnetic vibration for electrical machines considering high-frequency current harmonics, IEEE Transaction on Industrial Electronics, 69 (10) (2022) 10385–10395.
F. Ou, X. Liao, C. Yi and J. Lin, Field measurements and analyses of traction motor noise of medium and low speed maglev train, Energies, 15 (23) (2022) 9061.
W.-S. Ma, X.-P. Ren and Z.-B. Chen, A new signal analysis method after wavelet packet de-noising, 2008 International Conference on Wavelet Analysis and Pattern Recognition (2008) 426–431.
S. L. Hahn, Hilbert Transform in Signal Processing, Artech House, USA (1996).
M. Feldman, Hilbert transform in vibration analysis, Mechanical Systems and Systems Processing, 25 (2011) 735–802.
E. Bedrosian, A product theorem for hilbert transform, Proceedings of the IEEE, 51 (1963) 868–869.
J.-G. Shen and D.-Y. Yuan, The properties of biorthogonal bivariate wavelet packets, 2007 International Conference on Wavelet Analysis and Pattern Recognition (2007) 1608–1612.
GB 14892-2006, Noise Limit and Measurement for Train of Urban Rail Transit, China National Standardization Administration (2006).
ISO 14837-1-2005, Mechanical Vibration - Ground-Borne Noise and Vibration Arising from Rail System - Part 1: General Guidance, ISO (2005).
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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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