• DocumentCode
    157331
  • Title

    Stator current measurements as a condition monitoring technology — The-state-of-the-art

  • Author

    Corne, Bram ; Debruyne, Colin ; De Baets, Patrick ; Desmet, Jan

  • Author_Institution
    Dept. of Ind. Syst. & Product Design, Ghent Univ., Kortrijk, Belgium
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    1659
  • Lastpage
    1665
  • Abstract
    Condition monitoring of electrical machines has proven to be economically beneficial within industrial production sites. This paper illustrates the technical implications of implementing Motor Current Signature Analysis (MCSA) as a tool for condition monitoring. The majority of machine failures are illustrated and are related to the state-of-the-art of MCSA. Because MCSA has become a valuable tool within the broader scope of condition monitoring during the last decade, a vast amount of new research opportunities can be presented. One of these opportunities is to determine Frequency Response Functions (FRFs) between the rotor vibrations and the stator current as a function of the operating point of the machine. This allows to estimate the mechanical machine fault vibrations out of the stator current frequency components, independently of its speed and load. This paper ends by presenting a research strategy to obtain this goal.
  • Keywords
    condition monitoring; electric current measurement; frequency response; rotors; stators; FRF; MCSA; condition monitoring technology; electrical machines; frequency response functions; industrial production sites; machine failures; mechanical machine fault vibrations; motor current signature analysis; rotor vibrations; state-of-the-art; stator current frequency components; stator current measurements; Condition monitoring; Induction motors; Rotors; Stator windings; Torque; Vibrations; Condition monitoring; Fault diagnosis; Induction motors; MCSA; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2014 International Conference on
  • Conference_Location
    Berlin
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2014.6960405
  • Filename
    6960405