DocumentCode :
3107203
Title :
Signal based fault detection for stator insulation in electric motors
Author :
Ayaz, Emine ; Ucar, Murat ; Seker, Serhat ; Upadhyaya, Belle R.
Author_Institution :
Electr. Eng. Dept., Istanbul Tech. Univ., Istanbul
fYear :
2008
fDate :
1-4 Sept. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Stator winding insulation damage in induction motors is considered in this research and fault features developed during the artificial aging process of the stator insulation are extracted from the collected data by the spectral analysis methods. Even harmonic effects are determined as a common feature between the phase currents and vibration signals using the coherence analysis and hence this feature is interpreted as an indicator of the stator insulation fault.
Keywords :
fault diagnosis; induction motors; machine insulation; artificial aging process; coherence analysis; electric motors; induction motors; phase currents; signal based fault detection; spectral analysis methods; stator winding insulation; vibration signals; Aging; Data mining; Dielectrics and electrical insulation; Electric motors; Electrical fault detection; Harmonic analysis; Induction motors; Signal detection; Spectral analysis; Stator windings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location :
Padova
Print_ISBN :
978-1-4244-3294-3
Electronic_ISBN :
978-88-89884-09-6
Type :
conf
DOI :
10.1109/UPEC.2008.4651641
Filename :
4651641
Link To Document :
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