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Volume 31Issue 2
Apr. 2022
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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2022> 31(2): 185-195
Yu Miao, Jiwei Huo, Ze Liu, Ying Gao, Chengfei Wang. Fast Rail Defect Inspection Based on Half-Cycle Power Demodulation Method and FPGA Implementation[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(2): 185-195. doi: 10.15918/j.jbit1004-0579.2021.053
Citation: Yu Miao, Jiwei Huo, Ze Liu, Ying Gao, Chengfei Wang. Fast Rail Defect Inspection Based on Half-Cycle Power Demodulation Method and FPGA Implementation[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(2): 185-195.doi:10.15918/j.jbit1004-0579.2021.053
shu

Fast Rail Defect Inspection Based on Half-Cycle Power Demodulation Method and FPGA Implementation

doi:10.15918/j.jbit1004-0579.2021.053
  • 1.

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • 2.

    Standards & Metrology Research Institute, China Academy of Railway Sciences, Beijing 100081, China

Funds:This work was supported by the National Natural Science Foundation of China (No. 61771041).
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  • Author Bio:

    Yu Miaoreceived the M.S. degree from Beijing Jiaotong University, Beijing, China, in 1999. She is currently an associate professor in School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China. Her current research interests include nondestructive testing, electromagnetic tomography and its applications

    Jiwei Huoreceived the Ph.D. degree in School of Electronic and Information Engineering from Beijing Jiaotong University, Beijing, China, in 2021. He is currently working in Standards & Metrology Research Institute, China Academy of Railway Sciences Corporation Limited. His current research area including rail inspection, electromagnetic tomography, digital signal processing and safety assessment

    Ze Liureceived the Ph.D. degree in Tianjin University, Tianjin, China, in 2002. He is now a professor in School of Electronic and Information Engineering, Beijing Jiaotong University. His current research area including process parameter measurement, rail inspection and electromagnetic tomography

    Ying Gaoreceived the Ph.D. degree in China Academy of Railway Sciences, Beijing, China, in 2019. She is currently working in Standards & Metrology Research Institute, China Academy of Railway Sciences Corporation Limited. Her current research area including railway product certification and ISA of signaling system

    Chengfei Wangreceived the M.S. degree in School of Electronic and Information Engineering from Beijing Jiaotong University, Beijing, China, in 2020. He is currently working in Standards & Metrology Research Institute, China Academy of Railway Sciences Corporation Limited. His current research area including electromagnetic inspection

  • Corresponding author:zliu@bjtu.edu.cn
  • Received Date:2021-11-29
  • Rev Recd Date:2021-12-29
  • Accepted Date:2022-01-11
  • Publish Date:2022-04-26
    Abstract
  • In this paper, a fast-speed and real-time online rail inspection method based on half-cycle orthogonal power demodulation algorithm is proposed. For this method, the power characters of detection signal which represent the degree of rail track can be calculated using only half-cycle detection signal because of the symmetry characteristic of detected sine signal and reference signal. The theoretical analysis, simulation results and experiment results show that the demodulation precision of proposed method is almost equal to fast Fourier transform (FFT) demodulation method and orthogonal demodulation method, but has high demodulation efficiency and less FPGA resources cost. A high-speed experiment system based on three coils structured sensor is built for rail inspection experiment at a moving speed of 200 km/h. The experiment results show that proposed method is more effective for rail inspection and the time resolution of proposed method is double of classic method that based on FFT and orthogonal.
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    • References (25)
  • [1]
    Z. Liu, A. D. Koffman, B. C. Waltrip, and Y. Wang, “Eddy current rail inspection using AC bridge techniques, ” Journal of Research of the National Institute of Standards and Technology, vol. 118, no. 8, pp. 140-149, 2013.
    [2]
    J. Huo, Z. Liu, J. Xiao, P. Zhao, and Y. Lu, “Development of online electromagnetic tomography demodulation system for rail defect inspection, ” in 2018 IEEE Sensors, New Delhi, India, pp. 1-4, Oct. 2018.
    [3]
    M. P. Papaelias, C. Roberts, and C. L. Davis, “A review on non-destructive evaluation of rails: State-of-the-art and future development”, in Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit,vol. 222, no. 4, pp. 367-384, 2008.
    [4]
    S. Sternini, A. Liang, S. Di, and L. Francesco, “Rail defect imaging by improved ultrasonic synthetic aperture focus techniques, ” Materials Evaluation, vol. 77, no. 7, pp. 931-940, 2019.
    [5]
    R. Clark, “Rail flaw detection: Overview and needs for future developments, ” NDT & E International, vol. 37, no. 2, pp. 111-118, 2004.
    [6]
    L. Ferreira and M. Murray, “Modelling rail track deterioration and maintenance: current practices and future needs, ” Transport Reviews, vol. 17, no. 3, pp. 207-221, 1997.
    [7]
    W. Deng, J. Xu, X. Gao, and H. Zhao, “An enhanced MSIQDE algorithm with novel multiple strategies for global optimization problems, ” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 3, pp. 1578-1587, 2022.
    [8]
    A. G. Antipov and A. A. Markov, “3D simulation and experiment on high speed rail MFL inspection, ” NDT & E International, vol. 98, no. 9, pp. 177-185, 2018.
    [9]
    Q. Li and S. Ren, “A real-time visual inspection system for discrete surface defects of rail heads, ” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 8, pp. 2189-2199, 2012.
    [10]
    W. Deng, J. Xu, H. Zhao, and Y. Song, “A novel gate resource allocation method using improved PSO-based QEA, ” IEEE Transactions on Intelligent Transportation Systems (Early Access), pp. 1-9, 2020, DOI: 10.1109/TITS.2020.3025796.
    [11]
    X. Lan and Y. Zhang, “Research on heavy haul railway inspection system based on the phased array technique, ” Chinese Journal of Scientific Instrument,vol. 40, no. 12, pp. 47-55, 2019.
    [12]
    R. Krull, S. Ruehe, H. Hintze, H. M. Thomas, and M. Junger, “Pioneering inspection of railroad rails with eddy currents,” in 15th World Conference of Non-Destructive Testing,Roma, Italy, pp. 1-4, Nov. 2000.
    [13]
    Z. Liu, W. Li, F. Q. Xue, J. Y. Xiafang, B. Bu, and Z. Yi, “Electromagnetic tomography rail defect inspection,” IEEE Transaction on Magnetic, vol. 51, no. 10, pp. 1-7, 2015.
    [14]
    W. Yin and A. J. Peyton, “Sensitivity formulation including velocity effects for electromagnetic induction systems,” IEEE Transactions on Magnetics, vol. 46, no. 5, pp. 1172-1176, 2010.
    [15]
    M. Bentoumi and P. Aknin, “Bloch on-line rail defect diagnosis with differential eddy current probs and specific detection processing, ” The European Physical Journal Applied Physics, vol. 23, no. 3, pp. 227-233, 2003.
    [16]
    E. Ramrez-Pacheco, J. H. Espina-Hernndez, F. Caleyo, and J. M. Hallen, “Defect detection in aluminium with an eddy currents sensor, ” in 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, Cuernavaca, Mexico, pp. 765-770, Sept. 2010.
    [17]
    Z. Liu, W. Jia, L. Zhu, and X. Zhang, “Rail defect inspection using alternating current excitation coils with digital demodulation algorithm, ” in 2011 IEEE International Instrumentation and Measurement Technology Conference, Hangzhou, China, pp. 235-238, May 2011.
    [18]
    S. M. Kay, “A fast accurate single frequency estimator, ” IEEE Transactions on Acoustics, Speech, and Signal Processing,vol. 37, no. 12, pp. 1987-1990, 1989.
    [19]
    H. Guo, G. A. Sitton, and C. S. Burrus, “The quick Fourier transform: An FFT based on symmetries, ” IEEE Transactions on Signal Processing, vol. 46, no. 2, pp. 335-341, 1998.
    [20]
    J. M. Masciotti, J. M. Lasker, M. Joseph, and A. H. Hielscher, “Digital lock-in detection for discriminating multiple modulation frequencies with high accuracy and computational efficiency, ” IEEE Transactions on Instrumentation and Measurement, vol. 57, no. 1, pp. 182-189, 2008.
    [21]
    S. Sun, L. Xu, Z. Cao, J. Sun, and W. Yang,“Signal demodulation methods for electrical tomography: A review,” IEEE Sensors Journal, vol. 19, no. 20, pp. 9026-9035, 2019.
    [22]
    W. Yin, G. Chen, J. Jiang, and Z. Cui, “The design of a FPGA-based digital magnetic induction tomography (MIT) system for metallic object imaging, ” in 2010 IEEE Instrumentation & Measurement Technology Conference, Austin, TX, USA pp. 363-366, May 2010.
    [23]
    R. Tao, F. Zhang, and Y. Wang, “Fractional power spectrum, ” IEEE Transactions on Signal Processing, vol. 56, no. 9, pp. 4199-4206, 2008.
    [24]
    H. Zhou, L. Xu, Z. Cao, S. Fan, and H. Pei, “A digital demodulation method for electrical tomography based on sine wave rectification, ” in 2012 IEEE International Conference on Imaging Systems and Techniques, Manchester, UK, pp. 558-561, July 2012.
    [25]
    W. Yin, G. Chen, L. Chen, and B. Wang, “The design of a digital magnetic induction tomography (MIT) system for metallic object imaging based on half cycle demodulation, ” IEEE Sensors Journal, vol. 11, no. 10, pp. 2233-2240, 2011.
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