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Volumn 3972 LNCS, Issue , 2006, Pages 1378-1385

Wavelet-based intelligent system for recognition of power quality disturbance signals

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; HARMONIC DISTORTION; MONITORING; NEURAL NETWORKS; STANDBY POWER SYSTEMS; VECTOR QUANTIZATION;

EID: 33745879115     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760023_199     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 4
    • 0032187879 scopus 로고    scopus 로고
    • A measurement method based on the wavelet transform for power quality analysis
    • Angrisani, L., Daponte, P., Apuzzo, M D., Testa, T.: A Measurement Method Based on the Wavelet Transform for Power Quality Analysis. IEEE Trans. Power Delivery 13(4) (1998) 990-998
    • (1998) IEEE Trans. Power Delivery , vol.13 , Issue.4 , pp. 990-998
    • Angrisani, L.1    Daponte, P.2    Apuzzo, M.D.3    Testa, T.4
  • 5
    • 0033689505 scopus 로고    scopus 로고
    • Power quality disturbance waveform recognition using wavelet-based neural classifier-part 1: Theoretical foundation
    • Santoso, S., Powers, E. J., Grady, W. M., Parsons, A. C.: Power Quality Disturbance Waveform Recognition Using Wavelet-Based Neural Classifier-part 1: Theoretical Foundation. IEEE Trans. Power Delivery 15(1) (2000) 222-228
    • (2000) IEEE Trans. Power Delivery , vol.15 , Issue.1 , pp. 222-228
    • Santoso, S.1    Powers, E.J.2    Grady, W.M.3    Parsons, A.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.