Title :
Classification of voltage sag based on wavelet transform and wavelet network
Author :
Zheng, Gang ; Yan, Xiao-Mei ; Li, Hao-Wen ; Liu, Ding
Author_Institution :
Res. Center of Inf. & Control Eng., Xi´´an Univ. of Technol., China
Abstract :
Voltage sag due to line fault, transformer energizing and induction motor starting was analyzed in this paper. The respective sag waveform was presented. The analysis results illustrate that interference source would be identified based on characteristics of voltage sag. An interference source identification method is brought forward by using wavelet transform and wavelet network. The wavelet Daubechies 6 is used to extract the character vector. The voltage sag can be classified by using the wavelet network.
Keywords :
induction motors; interference (wave); neural nets; power distribution faults; power supply quality; signal processing; transformers; wavelet transforms; artificial neural network; character vector; electric power distribution system operation; induction motor starting; interference source identification; line fault; power quality analysis; power system fault signal processing; transformer energization; voltage sag classification; wavelet network; wavelet transform; Artificial neural networks; Circuit faults; Frequency; Induction motors; Power quality; Signal resolution; Threshold voltage; Voltage fluctuations; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380734
