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Author: search.filters.author.Leawsoong, Mongkol

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    Fault detection in compressor using FFT algorithm
    (2013-01-01)
    Tipsuwanporn, Vittaya
    ;
    Leawsoong, Mongkol
    ;
    Numsomran, Arjin
    ;
    Wongratanapornkul, Chanwit
    This paper proposes a study of compressor current signal analysis using Fast Fourier Transform (FFT) algorithm for fault detection of balance weights in the three-phase compressor. The experimentations are implemented in a 5-Hp, 3-phase, 200-Volt rotary compressor with incorrectness of internal balance weights to the specification. The experimental results show the variation of the fault indication signal while the compressor is operated under the incorrect balance weight conditions. Finally the paper shows the relationship between mass of the balance weights, center of mass of internal part of compressor compare with the amplitude of compressor current in frequency domain and simulation result confirm the effectiveness of the purpose methodology.
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    Balance weight fault detection in compressor using FFT algorithm
    (2012-12-01)
    Thipsuwanporn, Vittaya
    ;
    Numsamran, Arjin
    ;
    Leawsoong, Mongkol
    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. © 2012 ICROS.