• DocumentCode
    125024
  • Title

    Defect detection study on total focus method of sound field imaging based on parallel processing

  • Author

    Zhang Xinlu ; Guo Jianqiang ; Luo Xiaoxiang ; Gao Xiaorong ; Wang Zeyong ; Zhao Quanke ; Zheng Biao

  • Author_Institution
    Locomotive Depot, Urumqi railway Bur., Urumqi, China
  • fYear
    2014
  • fDate
    20-23 June 2014
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    In order to process real-time phased array ultrasound imaging, to improve imaging resolution, and achieve on-line defect detection, total focusing method (TFM) imaging algorithm is used for the complete data, thrust reversers the focus and algorithm in different positions, the computational problems of large data can be solved by the FPGA parallel algorithms. After that, the total focusing method imaging algorithm can be realized in the real-time detection.
  • Keywords
    parallel processing; ultrasonic arrays; ultrasonic imaging; ultrasonic materials testing; FPGA parallel algorithms; computational problems; defect detection study; imaging resolution; on-line defect detection; parallel processing; real-time detection; real-time phased array ultrasound imaging; sound field imaging; thrust reversers; total focus method; total focusing method imaging algorithm; Acoustics; Arrays; Field programmable gate arrays; Focusing; Indexes; Probes; FPGA; TFM; Ultrasonic Phased Array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nondestructive Evaluation/Testing (FENDT), 2014 IEEE Far East Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-4731-7
  • Type

    conf

  • DOI
    10.1109/FENDT.2014.6928244
  • Filename
    6928244