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Volumn , Issue , 2012, Pages 201-204

An approach for classification of power quality disturbances based on Hilbert Huang Transform and Relevance Vector Machine

Author keywords

Empirical Mode Decomposition; Hilbert Transform; Power Quality; Relevance Vector Machines

Indexed keywords

EMPIRICAL MODE DECOMPOSITION; HILBERT HUANG TRANSFORMS; HILBERT TRANSFORM; INSTANTANEOUS AMPLITUDE; INTRINSIC MODE FUNCTIONS; K NEAREST NEIGHBOURS (K-NN); POWER QUALITY DISTURBANCES; RELEVANCE VECTOR MACHINE;

EID: 84875542112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICECE.2012.6471520     Document Type: Conference Paper
Times cited : (9)

References (10)
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  • 2
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  • 3
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  • 4
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    • A. M. Gargoom, Nesimi Ertugrul and Wen. L. Soong, "Automatic classification and characterization of power quality events," IEEE Trans. Power Del., vol. 23, no. 4, pp. 2417-2425, Oct. 2008.
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    • Automated classification of power quality disturbances using Hilbert Huang Transform and RBF networks
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    • T. Jayasree, D. Sam Harrison, T. Sree Rangaraja, "Automated classification of power quality disturbances using Hilbert Huang Transform and RBF networks," International Journal of Soft Computing and Engineering, vol. 1, no. 5, pp. 217-223, Nov. 2011.
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  • 8
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.