• DocumentCode
    2473871
  • Title

    Vibration monitoring of electric generators without sensor dedicated

  • Author

    Vieira, P. ; Bobi, Miguel Angel Sanz ; Gomes, Cristiane Ruiz ; Gomes, Hermínio Simões ; do Nascimento, Miguel Pacheco

  • Author_Institution
    Fed. Univ. of Para, Belém, Brazil
  • fYear
    2010
  • fDate
    14-17 March 2010
  • Firstpage
    451
  • Lastpage
    456
  • Abstract
    This paper describes a method for on-line condition monitoring of rotating electric generators without a need for installed sensors dedicated. This sensorless method has been based on continuous monitoring vibration using neural networks for the classification of bearing failures experimentally induced. The results obtained have an error of less than 0,5% confirming the validity of the method proposed.
  • Keywords
    condition monitoring; electric generators; neural nets; power engineering computing; neural networks; online condition monitoring; rotating electric generators; sensorless method; vibration monitoring; Artificial neural networks; Condition monitoring; Electric variables measurement; Fault diagnosis; Generators; Mechanical sensors; Principal component analysis; Sensor phenomena and characterization; Shafts; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2010 IEEE International Conference on
  • Conference_Location
    Vi a del Mar
  • Print_ISBN
    978-1-4244-5695-6
  • Electronic_ISBN
    978-1-4244-5696-3
  • Type

    conf

  • DOI
    10.1109/ICIT.2010.5472760
  • Filename
    5472760