• DocumentCode
    1390771
  • Title

    A review of induction motors signature analysis as a medium for faults detection

  • Author

    El Hachemi Benbouzid, Mohamed

  • Author_Institution
    Univ. of Picardie Jules Verne, Amiens, France
  • Volume
    47
  • Issue
    5
  • fYear
    2000
  • fDate
    10/1/2000 12:00:00 AM
  • Firstpage
    984
  • Lastpage
    993
  • Abstract
    This paper is intended as a tutorial overview of induction motors signature analysis as a medium for fault detection. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors. The paper is focused on the so-called motor current signature analysis which utilizes the results of spectral analysis of the stator current. The paper is purposefully written without “state-of-the-art” terminology for the benefit of practising engineers in facilities today who may not be familiar with signal processing
  • Keywords
    fault location; induction motors; signal processing; spectral analysis; stators; electrical conditions; faults detection; induction motors signature analysis; mechanical conditions; signal processing; spectral analysis; state-of-the-art terminology; stator current; Condition monitoring; Electrical fault detection; Fault detection; Induction motors; Magnetic sensors; Rotors; Stators; Temperature sensors; Torque; Vibration measurement;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/41.873206
  • Filename
    873206