• DocumentCode
    3086938
  • Title

    Detection of Gear Fault Based on Amplitude Demodulation of Rotary Speed

  • Author

    Qing-Feng, Zhang ; Li-Wei, Tang ; Xiu-Mei, Cui ; Cai-Hong, Hou

  • Author_Institution
    Dept. of Guns Eng., Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    864
  • Lastpage
    867
  • Abstract
    Aiming at the features of the engaging vibration´s direct effects on the rotary speed of axis, this paper puts forward the faults diagnosis method of gearbox using amplitude demodulation technology to analyze the signals of rotary speed. First, the signals of rotary speed of gearbox are synchronously sampled in time domain; Next, the signals of torsional vibration are worked out using the signals of rotary speed, and the signals are averaged in time domain to decrease the noise and increase the power signal-to-noise ratio; Last, the averaged signals in time domain are analized with amplitude demodulation and according to the function graph of the amplitude demodulation, the features of the gear fault are picked up. With the analysis of the fault experimental signals of partially abraded gears, partially abraded faults are effectively diagnosed with this method.
  • Keywords
    amplitude modulation; demodulation; fault diagnosis; gears; graph theory; signal processing; vibrations; amplitude demodulation technology; fault experimental signals; faults diagnosis method; function graph; gear fault detection; gearbox rotary speed; power signal-to-noise ratio; torsional vibration signal; Band pass filters; Demodulation; Fault diagnosis; Gears; Teeth; Time domain analysis; Vibrations; Time domain average; amplitude demodulation; faults diagnosis; gear; torsional vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.214
  • Filename
    5635823