Title :
Extraction and diagnosis of rotor fault characteristic based on signal processing
Author :
Wang, Li ; Wang, Dongxu ; Wu, Da ; Wang, Xuan
Author_Institution :
Missile Inst. of Air Force Eng., Sanyuan, China
Abstract :
According to the fault of rotor bar breakage, the paper put forward a diagnosis method to extract the fault characteristic signal in stator current, by signal processing with Fourier Transform and wavelet transform theory. To validate its feasibility, simulation and experiment on frequency converter sets are made, and the results show that the given method perform well in the fault diagnosis application.
Keywords :
feature extraction; rotors; signal processing; stators; Fourier transform; fault characteristic signal extraction; fault diagnosis; rotor bar breakage fault; rotor fault; signal processing; stator current; wavelet transform; Fault detection; Fault diagnosis; Fourier transforms; Frequency conversion; Missiles; Rotors; Signal processing; Stators; Synchronous motors; Wavelet transforms; Fourier Transform; fault diagnosis; rotor bar breakage; wavelet transform;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274041
