DocumentCode :
2905602
Title :
Power quality disturbances classification using specialized neural networks
Author :
Cerqueira, Augusto S. ; Ferreira, Danton D. ; Pinto, Marcia B S ; Salmento, Marlon L G ; De Seixas, José M.
Author_Institution :
Dept. of Electr. Circuits, Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
1
Lastpage :
5
Abstract :
This work presents an automatic classification system for power quality disturbances based on specialized neural networks. The proposed system is capable to classify multiple disturbances, which is very important in some power systems scenarios. A system was designed and tested with synthetic signals generated by software and the global efficiency achieved was 98.9%. The system was also evaluated with real data achieving good results.
Keywords :
neural nets; power engineering computing; power supply quality; power system faults; multiple disturbances; power quality disturbances classification; specialized neural networks; Artificial neural networks; Equations; Harmonic analysis; Pattern recognition; Power quality; Transient analysis; Multiple Disturbances; Pattern Recognition; Power Quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Harmonics and Quality of Power (ICHQP), 2010 14th International Conference on
Conference_Location :
Bergamo
Print_ISBN :
978-1-4244-7244-4
Electronic_ISBN :
978-1-4244-7245-1
Type :
conf
DOI :
10.1109/ICHQP.2010.5625328
Filename :
5625328
Link To Document :
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