• DocumentCode
    1722387
  • Title

    Implementation of motor electromagnetic noise detection by mutual induction

  • Author

    Long, Jianxiong

  • Author_Institution
    Coll. of Appl. Sci. & Technol., Beijing Union Univ., Beijing, China
  • Volume
    3
  • fYear
    2010
  • Abstract
    A method of motor electromagnetic noise detection on the working state is put forward based on a mutual inductance. The motor current/voltage change and electromagnetic noise information can be detected by the method. The new method of motor electromagnetic noise detection is verified a feasibility and effectiveness through an actual test. A motor dynamic system diagnosis model can be established combining of the measured motor speed, its temperature, the current/voltage change and noise information with multi-source information fusion, and electrical status online intelligent fault detection and diagnosis achieved.
  • Keywords
    electric motors; electromagnetic interference; fault diagnosis; sensor fusion; temperature measurement; velocity measurement; electrical status online intelligent fault detection; electromagnetic noise information; fault diagnosis; motor current change; motor dynamic system diagnosis model; motor electromagnetic noise detection; motor speed measurement; motor voltage change; multisource information fusion; mutual induction; temperature measurement; Electromagnetic interference; Fault diagnosis; Inductance; Induction motors; Integrated circuit modeling; Noise; Temperature measurement; Motor Electromagnetic Noise; Mutual Induction Method; On-Line Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555807
  • Filename
    5555807