Title :
A frequency-domain detection of stator winding faults in induction machines using an external flux sensor
Author :
Henao, Humberto ; Demian, Cristian ; Capolino, Gerard-André
Author_Institution :
Univ. of Picardie "Jules Verne", Amiens, France
Abstract :
The aim of this paper is to present the advantage of stator fault detection using an external flux sensor in working induction machine. In the past twenty years, axial flux sensors have been used for diagnosis purpose but rarely in presence of complex power supply such as voltage static inverter. In this paper, it is proved that a simple external flux sensor is more efficient than the classical stator current analysis to detect intern-turn short circuit in three-phase induction machine. The new result is that, even in presence of power supply harmonics, it is possible to detect easily the stator winding faults in the low frequency range of the flux spectrum with low frequency resolution.
Keywords :
asynchronous machines; fault diagnosis; frequency-domain analysis; machine testing; machine theory; magnetic flux; magnetic sensors; magnetic variables measurement; stators; complex power supply; external flux sensor; frequency-domain detection; induction machines stator winding faults; inter-turn short circuit; stator current analysis; three-phase induction machine; voltage static inverter; Circuit faults; Electrical fault detection; Fault detection; Frequency; Induction machines; Inverters; Power supplies; Power system harmonics; Stator windings; Voltage;
Conference_Titel :
Industry Applications Conference, 2002. 37th IAS Annual Meeting. Conference Record of the
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
0-7803-7420-7
DOI :
10.1109/IAS.2002.1043735