• DocumentCode
    249165
  • Title

    Vibration analysis for bearing fault detection in electrical motors

  • Author

    Chaudhari, Yogita K. ; Gaikwad, Jitendra A. ; Kulkarni, J.V.

  • Author_Institution
    Dept. of Instrum. Eng., Vishwakarma Inst. of Technol., Pune, India
  • fYear
    2014
  • fDate
    19-20 Aug. 2014
  • Firstpage
    146
  • Lastpage
    150
  • Abstract
    Failure in rolling element bearings is most common failure type associated with electrical machines. Bearing faults results in failure of machine and eventually loss in productivity facility. Localised faults in bearing generate impulses in vibration signal due to impacts of rolling elements on races. Vibration signals for three conditions of ball bearing; 1) good, 2) having fault on outer race and 3) having combined fault one on outer race and one on ball were acquired. FFT and Discrete Wavelet Transform (DWT) using db02 were used for analysis.
  • Keywords
    discrete wavelet transforms; electric motors; fast Fourier transforms; fault diagnosis; fault location; rolling bearings; signal processing; vibrations; DWT; FFT; bearing fault detection; db02; discrete wavelet transform; electrical machines; electrical motors; localised faults; productivity facility; rolling element bearings; rolling elements; vibration analysis; vibration signal; vibration signals; Discrete wavelet transforms; Rolling bearings; Time-frequency analysis; Vibrations; Wavelet analysis; Bearing fault; Discrete Wavelet Transform; Electrical motor; Vibration; fault frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks & Soft Computing (ICNSC), 2014 First International Conference on
  • Conference_Location
    Guntur
  • Print_ISBN
    978-1-4799-3485-0
  • Type

    conf

  • DOI
    10.1109/CNSC.2014.6906681
  • Filename
    6906681