• DocumentCode
    2141025
  • Title

    Instantaneous stator power as a medium for the signature analysis of induction motors

  • Author

    Legowski, Stanislaw F. ; Ula, A. H M Sadrul ; Trzynadlowski, Andrzej M.

  • Author_Institution
    Dept. of Electr. Eng., Wyoming Univ., Laramie, WY, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    8-12 Oct 1995
  • Firstpage
    619
  • Abstract
    Preventive maintenance of electric drive systems with induction motors involves continuous monitoring of operation, to detect electrical and mechanical conditions that may lead to a failure. Intensive research efforts have, for some time, been focused on motor current signature analysis (MCSA). MCSA techniques utilize results of spectral analysis of the stator current of an induction motor to diagnose abnormal conditions both in the motor and driven system. Reliable interpretation of the current spectra is difficult, as distortions of the current waveform caused by abnormalities in the drive system are usually minute. In this paper, an alternate medium for motor signature analysis, namely the instantaneous stator power, is proposed. It is shown, both by computer simulations and laboratory experiments, that the instantaneous power carries more information than the current itself, since not only the current magnitude but also the phase shift between the current and voltage waveforms are affected by irregularities in the motor or other parts of the drive system. Utilization of the instantaneous stator power as a medium for signature analysis opens new possibilities in the automated diagnosis of induction motor drives
  • Keywords
    electric machine analysis computing; electrical faults; fault diagnosis; induction motor drives; machine testing; machine theory; maintenance engineering; spectral analysis; stators; computer simulation; current magnitude; current waveforms; fault diagnostics; induction motor drives; instantaneous stator power; laboratory experiments; motor signature analysis; phase shift; preventive maintenance; spectral analysis; voltage waveforms; Computer simulation; Condition monitoring; Drives; Induction motors; Laboratories; Power system reliability; Preventive maintenance; Spectral analysis; Stators; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-3008-0
  • Type

    conf

  • DOI
    10.1109/IAS.1995.530356
  • Filename
    530356