Title :
Power quality disturbance classification based on rule-based and wavelet-multi-resolution decomposition
Author :
Zheng, Gang ; Shi, Mei-xiang ; Liu, Ding ; Yao, Jian ; Miao, Zhu-mei
Author_Institution :
Graduate Sch. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., China
Abstract :
A method using wavelet-multi-resolution decomposition which combines frequency-domain with time-domain analysis for power distribution feature extraction is proposed, and a scalability rule-based system is also proposed. This method is available for online disturbance identification of power systems.
Keywords :
expert systems; feature extraction; pattern classification; power supply quality; signal processing; time-domain analysis; wavelet transforms; feature extraction; frequency-domain analysis; power quality disturbance classification; rule-based decomposition; scalability rule-based system; time-domain analysis; wavelet-multi-resolution decomposition; Feature extraction; Frequency domain analysis; Power quality; Power system analysis computing; Signal generators; Signal resolution; Time domain analysis; Voltage fluctuations; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1175416
