• DocumentCode
    480655
  • Title

    New Method of Rotating Arc Sensor Welding Seam Information Pick-Up

  • Author

    Li, Zhi-gang ; Zhang, Hua ; Jia, Jian-ping ; Ye, Jian-xiong

  • Author_Institution
    Inst. ofMechatronics Eng., Nanchang Univ., Nanchang
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    1045
  • Lastpage
    1051
  • Abstract
    A rotating arc sensor may be used to pick up the deviation and oblique angle information of the welding seam, the relationship between deviation, oblique angle, initial phase and tracing angle are studied, based on the first harmonic coefficients of the welding torch height model with deviation and oblique angle included. Through the use of filtering method based on two dimensions, the improvement of the characteristic harmonic method, and the complex wavelet method, the real part of characteristic harmonic method or the real part of complex wavelet corresponding to the weld deviation, the imaginary part of characteristic harmonic method or the imaginary part of complex wavelet corresponding to oblique angle, can the deviation and the oblique angle information be extracted when the tracing angle is zero or small. The experiment results show that the use of such a method is better than the characteristics harmonic method adopting amplitude and phase as deviation criteria when the tracing angle is small.
  • Keywords
    sensors; signal denoising; wavelet transforms; welding; characteristic harmonic method; complex wavelet method; oblique angle information; rotating arc sensor; welding seam information pick-up; welding torch height model; Digital filters; Image sensors; Information filtering; Information filters; Intelligent sensors; Noise generators; Noise shaping; Power harmonic filters; Sensor phenomena and characterization; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.268
  • Filename
    4739922