Title :
Discerning mechanical load unbalances from rotor faults in induction machines through current space vector components
Author :
Concari, C. ; Franceschini, G. ; Tassoni, C.
Author_Institution :
DII, Univ. of Parma, Parma, OH, USA
Abstract :
Low frequency load torque oscillations and rotor faults have similar effects on stator current spectral contents of induction machines. Intensive researches efforts have been spent with the aim of separating them through Motor Current Signature Analysis (MCSA). So far, however, the proposed techniques are impractical because they need an accurate estimation of the machine parameters. In this paper a procedure to discern the two kinds of events, based on the unique features of the current space vector, is proposed. By this procedure, MCSA can be safely used to diagnose rotor faults.
Keywords :
electrical faults; fault diagnosis; induction motors; oscillations; parameter estimation; rotors; signal processing; stators; torque; MCSA; current space vector component; induction machine; low frequency load torque oscillation; machine parameter estimation; mechanical load unbalance; motor current signature analysis; rotor fault; stator current spectral content; Amplitude modulation; Bars; Load modeling; Oscillators; Rotors; Shape; Torque;
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2010.5675156