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 :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
6/23/1905 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 minimize the financial loss. 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 :
computerised monitoring; fault diagnosis; induction motors; machine testing; machine theory; matrix algebra; power engineering computing; stators; 5 hp; incipient fault diagnosis; induction machine; motor nonidealities; online stator winding turn fault detection; robust sensorless technique; sequence component impedance matrix monitoring; supply voltage unbalance variation; Condition monitoring; Fault detection; Impedance; Induction machines; Insulation; Measurement errors; Propagation losses; Robustness; Stator windings; Voltage;
Conference_Titel :
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7067-8
DOI :
10.1109/PESC.2001.954449