• DocumentCode
    2221922
  • Title

    Remote fault diagnosis system based on DSP for rolling bearing

  • Author

    Hongxia, Pan ; Yang, Gao

  • Author_Institution
    Sch. of Mech. Eng. & Autom., North Univ. of China, Taiyuan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    A online rolling bearing fault diagnosis system is designed using TI Company´s digital signal processor DSP-TMS320F2812 as the core processor. The hardware is built by the various peripheral modules of F2812, which includes the acquisition of vibration signal, rotating-speed signal, digital signal, and communicates with the upper monitor by RS-232 protocol and TCP/IP protocol. According to the common faults occurred in rolling bearing, the power spectrum, zoom power spectrum and wavelet envelope analysis are used in data processing to extract fault feature. The algorithms is embedded in DSP and can run independently without the upper monitor. It can get the type, location and extent of the fault by the fault feature vector. Tests show that the system can realize on-line monitoring for a long time, and can correctly identify the faults.
  • Keywords
    digital signal processing chips; fault diagnosis; mechanical engineering computing; rolling bearings; transport protocols; vibrations; DSP-TMS320F2812; RS-232 protocol; TCP/IP protocol; core processor; digital signal; online rolling bearing; remote fault diagnosis system; rotating-speed signal; vibration signal acquisition; Band pass filters; Educational institutions; Frequency measurement; Manuals; Monitoring; Shafts; Vibrations; DSP; fault diagnosis; rolling bearing; wavelet envelope analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579288
  • Filename
    5579288