Title :
State of the art in the classification of power quality events, an overview
Author_Institution :
Dept. of Signal & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden
Abstract :
The purpose is to review the state of the art techniques in signal processing for automatic classification of power quality events and to give a sign of the next trends. The time when power quality monitoring equipment just takes pictures of raw waveforms has gone. Nowadays, power quality monitoring systems are becoming able to identify and classify events automatically in order to solve problems in electrical networks.
Keywords :
monitoring; pattern classification; power supply quality; power system measurement; signal classification; signal processing; art techniques; automatic classification; electrical networks; pattern classification; power quality; power system motoring; signal processing; voltage dips; Amplitude estimation; Computerized monitoring; Data mining; Frequency estimation; Low pass filters; Power harmonic filters; Power quality; Power system harmonics; Signal processing; Signal processing algorithms;
Conference_Titel :
Harmonics and Quality of Power, 2002. 10th International Conference on
Print_ISBN :
0-7803-7671-4
DOI :
10.1109/ICHQP.2002.1221398
