• DocumentCode
    253056
  • Title

    An approach for fault detection and diagnosis of rotating electrical machine using vibration signal analysis

  • Author

    Shrivastava, Ashish ; Wadhwani, Sulochana

  • Author_Institution
    Dept. of Electr. Eng., JECRC Univ., Jaipur, India
  • fYear
    2014
  • fDate
    9-11 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the present scenario electric motor plays the most important role in any industry. Induction motor faults results in motor failure causing breakdown and great loss of production due to shutdown of industry and also increases the running cost of machine with reduction in efficiency. This needs for early detection of fault with diagnosis of its root cause. This paper presents an approach for fault detection and diagnosis of rotating electrical machine using vibration signal analysis. The experimental result shows variation in vibration signal of rotating electrical machine under healthy condition and faulty condition. The information is based on the author´s study in the field of rotating machinery vibration diagnostics under different fault condition.
  • Keywords
    condition monitoring; electric machines; fault diagnosis; maintenance engineering; reliability; signal processing; vibration measurement; Induction motor fault; fault detection; fault diagnosis; faulty condition; healthy condition; motor failure; rotating electrical machine; rotating machinery vibration diagnostics; vibration signal analysis; Maintenance engineering; Monitoring; Production; Shape; Standards; Vibrations; condition monitoring; fault classification; induction motor; rolling element bearing; time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances and Innovations in Engineering (ICRAIE), 2014
  • Conference_Location
    Jaipur
  • Print_ISBN
    978-1-4799-4041-7
  • Type

    conf

  • DOI
    10.1109/ICRAIE.2014.6909160
  • Filename
    6909160