• DocumentCode
    2263006
  • Title

    Radio frequency identification tag design for automated data acquisition

  • Author

    Mitchell, Gregory ; Conn, Marvin ; Huffman, James

  • Author_Institution
    US Army Res. Lab., Adelphi, MD, USA
  • fYear
    2009
  • fDate
    14-17 Sept. 2009
  • Firstpage
    73
  • Lastpage
    77
  • Abstract
    Automated data acquisition has become a major part of the military´s prognostics and diagnostics program as they move towards a condition based maintenance approach for logistics and mission readiness. The desire to apply this approach to a majority of new and legacy platforms has led to the development of a prototype radio frequency identification (RFID) tag with both serial and wireless communications capabilities that can be easily configured to different mechanical and electrical systems. This paper addresses the command architecture used for inter-node communication within the data acquisition network, and verifies the RFID´s data collection capabilities by obtaining vibration signatures from bearings running on a machinery fault simulator. The vibration signatures from the RFID are compared to those obtained from a proven data acquisition method.
  • Keywords
    data acquisition; machine bearings; maintenance engineering; military computing; radiofrequency identification; vibrations; RFID tag; automated data acquisition; bearings; condition based maintenance; internode communication; logistics; machinery fault simulator; mission readiness; radio frequency identification tag design; serial communications; vibration signatures; wireless communications; Computer architecture; Data acquisition; Embedded software; Hardware; Logistics; Radiofrequency identification; Vibrations; Wireless communication; Wireless sensor networks; ZigBee; automated data acquisition; radio frequency identification; vibration signature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AUTOTESTCON, 2009 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1088-7725
  • Print_ISBN
    978-1-4244-4980-4
  • Electronic_ISBN
    1088-7725
  • Type

    conf

  • DOI
    10.1109/AUTEST.2009.5314037
  • Filename
    5314037