• DocumentCode
    3168912
  • Title

    Multi-frequency least squares demodulation method in electromagnetic rail inspection

  • Author

    Ran Zheng ; Ze Liu ; Yingfei Lu ; Lixiong Zhu ; Xiufang Sun

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2013
  • fDate
    22-23 Oct. 2013
  • Firstpage
    363
  • Lastpage
    365
  • Abstract
    As a result of the development of higher speed and heavier load of rail networks, rail defects have been more serious than ever before. This paper introduces the least squares method (LSM) to demodulate multi-frequency signals in electromagnetic rail inspection using eddy current detection. The demodulation speed of LSM is faster than other methods because it can estimate frequencies with one time matrix calculation. Furthermore, its calculation complexity is less than other demodulation methods like FFT and fast correlation. Consequently, this method can improve the demodulation speed without decrease the demodulation accuracy. And it will be used as ideal demodulation algorithm for online real time multi-frequency electromagnetic rail inspection.
  • Keywords
    demodulation; eddy currents; fast Fourier transforms; inspection; least squares approximations; matrix algebra; mechanical engineering computing; railway safety; signal detection; FFT; LSM; eddy current detection; electromagnetic rail inspection; frequency estimation; multifrequency least squares demodulation method; rail defect; rail network; time matrix calculation; Algorithm design and analysis; Coils; Demodulation; Eddy currents; Inspection; Rails; eddy current detection; electromagnetic rail inspection; least squares method; multi-frequency demodulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-5790-6
  • Type

    conf

  • DOI
    10.1109/IST.2013.6729722
  • Filename
    6729722