• DocumentCode
    583509
  • Title

    Balance weight fault detection in compressor using FFT algorithm

  • Author

    Thipsuwanporn, Vittaya ; Numsamran, Arjin ; Leawsoong, Mongkol

  • Author_Institution
    Dept. of Instrum. & Control Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2012
  • fDate
    17-21 Oct. 2012
  • Firstpage
    798
  • Lastpage
    802
  • Abstract
    This paper is investigating stator current to detected balance weight faults and frequency component base on observations in the amplitude of sideband component between healthy and faulty compare with absolute statics and dynamics center of gravity. This paper apply Motor Current Signature Analysis(MCSA) method using Fast Fourier Transform(FFT) algorithm. And show prime features of difference signal between healthy and faulty compressor. Finally also present the relations between center of gravity and fault amplitude sideband frequency components.
  • Keywords
    compressors; fast Fourier transforms; fault diagnosis; stators; FFT algorithm; MCSA; balance weight fault detection; balance weight faults; center of gravity; compressor; fast Fourier transform; fault amplitude sideband frequency components; frequency component base; motor current signature analysis; sideband component; stator current; Amplitude modulation; Brushless DC motors; Gravity; Induction motors; Stator windings; BLDC; BW; CM; FFT; MCSA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2012 12th International Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-2247-8
  • Type

    conf

  • Filename
    6393291