Title :
Fault diagnosis of the inter-turn short circuit in rotor windings based on wavelet analysis
Author :
Zhang, Zhimeng ; Li, Yonggang ; Zhang, Jianzhong
Author_Institution :
School of Electrical Engineering, North China Electric Power University, Baoding, 071003, China
Abstract :
A new fault diagnosis method of inter-turn short circuit detection in generator rotor windings based on wavelet transform is presented. The detection method is based on the singularity characteristics of the induced electromotive force signal of search coil in the air gap. Electromagnetism characteristic of turbo-generator rotor windings is analyzed. Wavelet transform was applied to the detection of the abruptly change signal based on detecting coil method, extracts the fault characteristics of the induced electromotive force signal and excludes noises, thus realize the detection of inter-turn short circuit fault in generator rotor windings. Simulation indicates the wavelet analysis method is suited to detecting fault of inter-turn short circuit in generator rotor windings.
Keywords :
Circuit faults; Coils; Electrical fault detection; Electromagnetic analysis; Fault detection; Fault diagnosis; Rotors; Signal detection; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4