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Balance weight fault detection in compressor using FFT algorithm

Author(s)
Thipsuwanporn, Vittaya
Numsamran, Arjin
Leawsoong, Mongkol
Date Issued
December 1, 2012
Type
Conference Paper
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. © 2012 ICROS.
Citation
International Conference on Control Automation and Systems, 798-802, 2012
Subjects

BLDC

BW

CM

FFT

MCSA

Metrics
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