Title :
New methodology to faults detection in induction motors via MCSA
Author :
Castelli, M.J. ; Fossati, J.P. ; Andrade, M.T.
Author_Institution :
CITEM, Univ. of Montevideo, Montevideo
Abstract :
This paper introduces a new methodology for analysis of faults in induction motors based on MCSA using the Fast Fourier Transform (FFT). The report describes the methodology used for determining the exact amplitude of the harmonic fault, regardless of the sampling time used, thus making data acquisition and subsequent analysis easier. Another advantage of this method is that it only needs for its implementation the measurement of the stator current.
Keywords :
condition monitoring; data acquisition; electric current measurement; fast Fourier transforms; fault diagnosis; induction motors; stators; MCSA; data acquisition; data analysis; fast Fourier transform; faults detection; harmonic fault; induction motors; motor current signature analysis; sampling time; stator current measurement; Coils; Condition monitoring; Data acquisition; Fault detection; Frequency; Induction motors; Rotors; Sampling methods; Statistics; Stators; Fault Detection; Induction Motor Maintenance; MCSA;
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES
Conference_Location :
Bogota
Print_ISBN :
978-1-4244-2217-3
Electronic_ISBN :
978-1-4244-2218-0
DOI :
10.1109/TDC-LA.2008.4641817
