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Online detection of rotor eccentricity in squirrel cage induction motors

Carretas, L. ; Martins, J. F. ; Pires, V. F. ; Pires, A. J. ; Ramos, P.M. ; Janeiro, F. M.

Online detection of rotor eccentricity in squirrel cage induction motors, Proc IMEKO TC4 Symp., Natal, Brazil, Vol. 1, pp. 1 - 1, September, 2011.

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Abstract
Squirrel cage induction motors are the most common electric machines employed in industrial environments. Periodic online condition monitoring should be performed for early electrical and mechanical fault detection, thus preventing further deterioration of the machine in case a fault is present. Motor current signature analysis is usually used for online fault detection and different algorithms that fall in this category have recently been proposed. In this paper, the spectrum of the RMS value of the stator current is used to detect the presence of rotor static eccentricity.