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Volumn 46, Issue , 2015, Pages 372-380

Performance comparison of Variational Mode Decomposition over Empirical Wavelet Transform for the classification of power quality disturbances using Support Vector Machine

Author keywords

Alternate direction method of multipliers; AM FM signal; Empirical mode decomposition; Empirical wavelet transform; Intrinsic mode function; Variational mode decomposition

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLIMATE CHANGE; HARMONIC ANALYSIS; POWER QUALITY; SIGNAL PROCESSING; VECTORS; WAVELET DECOMPOSITION;

EID: 84931388618     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2015.02.033     Document Type: Conference Paper
Times cited : (137)

References (18)
  • 1
    • 79961143728 scopus 로고    scopus 로고
    • Determination of the spectral properties and harmonic levels for driving an induction motor by an inverter driver under the different load conditions
    • S. Taskin, H. Gokozan. Determination of the spectral properties and harmonic levels for driving an induction motor by an inverter driver under the different load conditions. Elektronika ir Elektrotechnika (Electronics and Electrical Engineering). no. 2. p. 75-80. 2011.
    • (2011) Elektronika Ir Elektrotechnika (Electronics and Electrical Engineering) , Issue.2 , pp. 75-80
    • Taskin, S.1    Gokozan, H.2
  • 2
    • 0036121852 scopus 로고    scopus 로고
    • Power disturbance classifier using a rule-based method and wavelet packet-based hidden Markov model
    • Jan.
    • J. Chung, E. J. Powers, W. M. Grady, and S. C. Bhatt. Power disturbance classifier using a rule-based method and wavelet packet-based hidden markov model. IEEE Trans. Power Delivery. Vol. 17. p. 233-241. Jan. 2002.
    • (2002) IEEE Trans. Power Delivery , vol.17 , pp. 233-241
    • Chung, J.1    Powers, E.J.2    Grady, W.M.3    Bhatt, S.C.4
  • 3
    • 0029184907 scopus 로고
    • The classification of power system disturbance waveforms using a neural network approach
    • Jan.
    • A. K. Ghosh and D. L. Lubkeman. The classification of power system disturbance waveforms using a neural network approach. IEEE Trans. Power Delivery. Vol. 10. p. 109-115. Jan. 1995.
    • (1995) IEEE Trans. Power Delivery , vol.10 , pp. 109-115
    • Ghosh, A.K.1    Lubkeman, D.L.2
  • 4
    • 79961048110 scopus 로고    scopus 로고
    • Theoretical and experimental aspects concerning fourier and wavelet analysis for deforming consumers in power network
    • G. Rata, M. Rata, C. Filote, Theoretical and experimental aspects concerning Fourier and wavelet analysis for deforming consumers in power network. ElektronikairElektrotechnika (Electronics and Electrical Engineering). no. 1. p. 62-66, 2010.
    • (2010) ElektronikairElektrotechnika (Electronics and Electrical Engineering) , Issue.1 , pp. 62-66
    • Rata, G.1    Rata, M.2    Filote, C.3
  • 7
  • 13
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato and Jonathan Eckstein. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers. Foundations and Trends in Machine Learning. Vol. 3, no. 1. p. 1-122. 2010.
    • (2010) Foundations and Trends in Machine Learning , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 15
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Ivan Bratko and SasoDzeroski (Eds.). Morgan Kaufmann Publishers Inc, San Francisco, CA, USA
    • Thorsten Joachims. Transductive Inference for Text Classification using Support Vector Machines. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML '99), Ivan Bratko and SasoDzeroski (Eds.). Morgan Kaufmann Publishers Inc, San Francisco, CA, USA, p. 200-209. 1999.
    • (1999) Proceedings of the Sixteenth International Conference on Machine Learning (ICML '99) , pp. 200-209
    • Joachims, T.1
  • 18
    • 34249753618 scopus 로고
    • Support-vector network
    • C. Cortes and V. Vapnik. Support-vector network. Mach. Learning. Vol. 20. p. 273-297. 1995.
    • (1995) Mach. Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.