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
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;
Conference_Titel :
Harmonics and Quality of Power Proceedings, 1998. Proceedings. 8th International Conference On
Conference_Location :
Athens
Print_ISBN :
0-7803-5105-3
DOI :
10.1109/ICHQP.1998.759894
