Title :
A frequency-domain detection of stator winding faults in induction machines using an external flux sensor
Author :
Henao, Humberto ; Demian, Cristian ; Capolino, Gérard-André
Author_Institution :
Dept. of Electr. Eng., Univ. of Picardie, Amiens, France
Abstract :
The aim of this paper is to present the advantage of stator fault detection using an external stray flux sensor in a working induction machine. In the past 20 years, stray flux sensors have been used for diagnostic purposes but rarely in the presence of a complex power supply such as a voltage static inverter. In this paper, it is proved that a simple external stray flux sensor is more efficient than the classical stator current signature analysis to detect inter-turn short circuit in three-phase induction machines. The new result is that, even in the presence of power supply harmonics, it is possible to easily detect the stator winding faults in the low-frequency range of the flux spectrum with low-frequency resolution.
Keywords :
fault location; harmonic analysis; invertors; magnetic flux; magnetic variables measurement; power supplies to apparatus; short-circuit currents; squirrel cage motors; stators; 11 kW; 230 V; 400 V; 50 Hz; diagnostic purposes; external flux sensor; flux spectrum; four-pole squirrel-cage induction motor; frequency-domain detection; harmonic analysis; induction machine; inter-turn short circuit detection; low-frequency range; low-frequency resolution; power supply; power supply harmonics; stator current signature analysis; stator fault detection; stator winding faults; stray flux sensors; three-phase induction machines; voltage static inverter; Circuit faults; Condition monitoring; Electrical fault detection; Fault detection; Induction machines; Power supplies; Signal processing; Stator windings; Torque; Voltage;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2003.816531