Self Organizing Map (SOM) approach for classification of Power Quality events

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3696 LNCS, Issue , 2005, Pages 403-408

  Germen, Emin ^a   Gokhan Ece D ^a   Gerek, Orner Nezih ^a  

^a ANADOLU UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECOMPOSITION; ELECTRIC UTILITIES; HARMONIC ANALYSIS; LEARNING ALGORITHMS; QUALITY CONTROL; RELATIONAL DATABASE SYSTEMS; VECTORS; WAVEFORM ANALYSIS;

LEARNING VECTOR QUANTIZER; POWER QUALITY EVENTS; SIGNATURE VECTORS; SLIDING TIME WINDOW;

SELF ORGANIZING MAPS;

EID: 33646200286     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11550822_63     Document Type: Conference Paper

References (4)

1. Wael R., Ibrahim A., Morcos M. M., Artificial Intelligence and Advanced Mathematical Tools for Power Quality Applications: A Survey, IEEE Trans. on Power Delivery, Vol. 17, No. 2, April 2002.
2. Wang M., Mamishev A. V., Classification of Power Quality Events Using Optimal Time-Frequency Representations-Part 1: Theory, IEEE Trans. on Power Delivery, Vol. 19, No. 3, July 2004.
3. Kohonen T., The Self Organizing Map, Proceedings of IEEE, 78, 9, (1990), 1464-1480
4. Yang H.T., Liao C. C., A De-Noising Scheme for Enhancing Wavelet-Based Power Quality Monitoring System, IEEE Trans. on Power Delivery, Vol. 19, No. 1, January 2004.