• DocumentCode
    2472002
  • Title

    An application instance of FPGA in the field of PHM

  • Author

    Wang, Ting ; Xiao, Boping ; Ma, Lin ; Wang, Naichao

  • Author_Institution
    Dept. of Syst. Eng. of Eng. Technol., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the extensive application of new types of sensors, the rate of data acquisition and transmission are becoming a problem in Prognostic and Health Management(PHM). This paper presents an FPGA-based method for high speed data acquisition and transmission taking full advantage of the parallel processing capabilities and easy to modify and upgrade features of FPGA, to cope with the difficulties of high-speed data acquisition and transmission. This article focuses on the components,performance and characteristics of the FPGA-based fault prediction and diagnosis system. The system uses an FPGA chip as the core operational component to achieve fast transfer of large amounts of data by FIFO. The use of programmable FPGA hardware, makes the data acquisition system design flexible, while improving the reliability of the system. It is also important for achieving the real-time online monitoring of failure.
  • Keywords
    biomedical electronics; data acquisition; data communication equipment; field programmable gate arrays; medical diagnostic computing; online operation; parallel programming; real-time systems; sensors; FIFO data; FPGA-based fault prediction; FPGA-based method; core operational component; data transmission; fast data transfer; flexible design; high-speed data acquisition rate; parallel processing; prognostic-and-health management; programmable FPGA hardware; real-time failure online monitoring; sensors; FIFO; FPGA; PHM; high-speed data transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228971
  • Filename
    6228971