Automatic detection of power quality disturbances and identification of transient signals

6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis

Volumn 2, Issue , 2001, Pages 462-465

  Hussain, A ^a   Sukairi, M H ^a   Mohamed, A ^a   Mohamed, R ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; NEURAL NETWORKS;

AUTOMATIC DETECTION; CLASSIFICATION TASKS; OSCILLATORY TRANSIENTS; OVERALL ACCURACIES; POWER QUALITY DISTURBANCES; TRAINING PROCESS; TRANSIENT SIGNAL; VOLTAGE WAVEFORMS;

POWER QUALITY;

EID: 33847120157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2001.950180     Document Type: Conference Paper

References (9)

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5. Disturbance Detection and Classification Using Wavelets and Artificial Neural Networks. Pp 7782. 0-7803-5105-3/98/IEEE
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9. C. H. Lee et al. Feature Vector Extraction for the Automatic Classification of Power Quality Disturbances. Proc. of the IEEE Int. Sym. on Circuits and Systems. June 9-12,1997. Hong Kong.