Title :
Extraction of partial discharge signal feature with chaos oscillator and adaptive lifting wavelet
Author :
Bide, Zhang ; Houxuan, Zhang ; Huimin, Pan ; Aihua, Zhou
Author_Institution :
Inst. of Electr. Eng. & Inf., Xihua Univ., Chengdu
Abstract :
Partial discharge(PD) signal is used to diagnose the faults of power transformer. But it is often affected by external noise. A method, which can remove narrow-band interference and white noise in PD signal effectively, is put forward. Because the chaotic motion of the duffing oscillator is sensitive to the narrow-band interference signal and immune to the white noise, the method of detecting narrow-band interference signal based on Lyapunov exponents calculation and intermittent chaos is given firstly. Then, the method based on the improved second-generation wavelet transform is put forward, which is used to reduce the white noise in the partial discharge signal. The availability of the methods is verified by MATLAB simulation analysis.
Keywords :
Lyapunov methods; fault diagnosis; feature extraction; oscillators; partial discharges; power transformers; wavelet transforms; Lyapunov exponents calculation; MATLAB simulation analysis; adaptive lifting wavelet transform; chaos oscillator; chaotic motion; external noise; fault diagnosis; intermittent chaos; narrow-band interference detection; partial discharge signal feature extraction; power transformer; second-generation wavelet transform; white noise; Chaos; Interference; Motion detection; Narrowband; Oscillators; Partial discharges; Power transformers; Signal detection; Wavelet transforms; White noise;
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4
