DocumentCode
2739366
Title
Automated recognition system for classifying and quantifying the electric power quality
Author
Gaouda, A.M. ; Salama, M.M.A. ; Sultan, M.R.
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
1
fYear
1998
fDate
14-18 Oct 1998
Firstpage
244
Abstract
The wavelet transform is introduced as a powerful tool for monitoring power quality problems. The paper presents the multiresolution signal decomposition technique as an efficient method in analyzing the transient events. The multiresolution signal decomposition has the ability to detect and localize the transient events and furthermore classify and quantify deferent power quality disturbances
Keywords
power supply quality; power system transients; signal processing; wavelet transforms; automated recognition system; electric power quality classification; electric power quality quantification; multiresolution signal decomposition technique; power quality problems monitoring; transient events analysis; transient events detection; transient events localisation; wavelet transform; Costs; Monitoring; Multiresolution analysis; Power quality; Signal analysis; Signal resolution; Transient analysis; Voltage fluctuations; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Harmonics and Quality of Power Proceedings, 1998. Proceedings. 8th International Conference On
Conference_Location
Athens
Print_ISBN
0-7803-5105-3
Type
conf
DOI
10.1109/ICHQP.1998.759894
Filename
759894
Link To Document