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
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;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8