Title :
The Application in the Fault of High Voltage Electric Power Measurement System Based on Wavelet Analysis with the Improved Threshold Algorithm
Author :
Zhao Jian-jun ; Hu Wei-wei ; Gu Xiao-guang ; Yang Peng
Author_Institution :
Inst. of Adv. Control & Intell. Inf. Process., Henan Univ., Kaifeng, China
Abstract :
In this paper, An algorithm which uses an improved threshold algorithm in the de-noising of electricity signals and then extracted the fault feature by db10 wavelet, is proposed because of the features in the fault of high voltage electric power measurement system. Experiment results show that it is more efficient to de-noising by the improved threshold algorithm in wavelet analysis. The method in the diagnosis of fault of electric power measurement is very practical valuable.
Keywords :
fault diagnosis; power system measurement; wavelet transforms; dblO wavelet; electricity signals; fault diagnosis; high voltage electric power measurement system; improved threshold algorithm; wavelet analysis; Noise reduction; Voltage measurement; Wavelet analysis; Wavelet coefficients;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873432
