Title :
A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix
Author :
Lee, Sang Bin ; Tallam, Rangarajan M. ; Habetler, Thomas G.
Author_Institution :
Electr. Machines & Drives Lab., Gen. Electr. Global Res. Center, Niskayuna, NY, USA
fDate :
5/1/2003 12:00:00 AM
Abstract :
A simple and robust sensorless technique for online stator winding turn fault detection based on monitoring an off-diagonal term of the sequence component impedance matrix is proposed in this paper. Due to the destructive and rapidly propagating nature of insulation failure, it is critical to detect turn faults in an early stage to prevent further damage to the motor. The motor nonidealities such as the variation in the supply voltage unbalance, slip-dependent influence of inherent motor asymmetry, and measurement errors must be taken into account in order to reliably detect a turn fault in its incipient stage. Simulation and experimental results on a 5 hp induction machine are given to confirm the validity of the proposed method. It is shown that the proposed turn fault detection scheme is simple and is capable of providing reliable fault detection that is immune to the motor nonidealities.
Keywords :
asynchronous machines; computerised monitoring; fault diagnosis; machine testing; monitoring; power engineering computing; stators; 5 hp; damage prevention; induction machine turn-fault detection technique; insulation failure; measurement errors; motor asymmetry; sequence component impedance matrix monitoring; stator winding; supply voltage unbalance; Condition monitoring; Fault detection; Impedance; Induction machines; Insulation; Robustness; Stator cores; Stator windings; Thermal stresses; Voltage;
Journal_Title :
Power Electronics, IEEE Transactions on
DOI :
10.1109/TPEL.2003.810848