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