• DocumentCode
    3196649
  • Title

    Prognostics in motor rotor malfunction using extension theory

  • Author

    Chao, Kuei-Hsiang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
  • fYear
    2009
  • fDate
    2-5 Nov. 2009
  • Firstpage
    1416
  • Lastpage
    1420
  • Abstract
    This paper presents a method using motor vibration signal spectrums and applying the extension method for discriminating different types of motor rotor malfunctions. Firstly, this paper establishes an extension model for motor rotor malfunction types and spectrum characteristics based on the test data of motor rotor malfunctions, employing it as a basis for extension theory and using extension engineering methods to perform malfunction analysis. Finally, some simulations and experimental results are used to test the feasibility of the presented motor rotor malfunction diagnosis method.
  • Keywords
    fault diagnosis; fuzzy set theory; machine testing; rotors; vibrations; extension theory; matter-element theory; motor rotor malfunction diagnosis; motor vibration signal spectrum; Chaos; Data engineering; Neural networks; Paper technology; Personnel; Production equipment; Rotors; Signal analysis; Testing; Vibration measurement; extension theory; malfunction diagnosis method; motor rotor malfunction; motor vibration signal spectrums;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-4166-2
  • Electronic_ISBN
    978-1-4244-4167-9
  • Type

    conf

  • DOI
    10.1109/PEDS.2009.5385873
  • Filename
    5385873