• DocumentCode
    1709306
  • Title

    System for gear online fault diagnosis based on DSP and envelope demodulation method

  • Author

    Hongxia, Pan ; Yang, Gao ; Sheng, Wu

  • Author_Institution
    Sch. of Mech. Eng. & Autom., North Univ. of China, Taiyuan, China
  • Volume
    2
  • fYear
    2010
  • Abstract
    A online fault diagnosis system is designed using TI´s digital signal processor DSP-TMS320F2812 as the core processor. The system can run independently without the upper monitor, its 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 CAN (Controller Area Network) bus. According to the common faults occured in gears, the digital filter algorithm, time domain statistical index, power spectrum and envelope demodulation spectrum are used in data processing to extract fault feature. 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
    controller area networks; data acquisition; demodulation; digital filters; digital signal processing chips; fault diagnosis; feature extraction; field buses; gears; mechanical engineering computing; CAN bus; DSP; RS-232 protocol; TMS320F2812; controller area network; data acquisition; digital filter algorithm; digital signal processor; envelope demodulation method; feature extraction; gear fault; online fault diagnosis system; time domain statistical index; Fault diagnosis; Frequency modulation; Gears; Shafts; Time frequency analysis; Turning; Vibrations; DSP; data acquisition; envelope demodulation; fault diagnosis; feature extraction; gears;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555271
  • Filename
    5555271