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Volumn 21, Issue 1, 2006, Pages 121-126

Power quality disturbances detection and identification based on S transform and multi-layer SVMs

Author keywords

Detection; Identification; Multi layer SVMs; PQ disturbances; S transform

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); QUALITY CONTROL;

EID: 33745316804     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (39)

References (14)
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  • 2
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  • 3
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    • Chinese source
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    • SCOReD
    • Shah Baki S R, Abdullah M Z, Abidin A F. Combination wavelets and artificial intelligent for classification and detection transient overvoltage. Research and Development, SCOReD 2002: 177-180
    • (2002) Research and Development , pp. 177-180
    • Shah, B.S.R.1    Abdullah, M.Z.2    Abidin, A.F.3
  • 5
    • 0033689505 scopus 로고    scopus 로고
    • Power quality disturbance waveform recognition using wavelet-based neural classifier: I. Theoretical foundation
    • Santoso S, Powers E J, Grady W M, et al. Power quality disturbance waveform recognition using wavelet-based neural classifier: I. theoretical foundation. IEEE Trans. on Power Delivery, 2000, 15(1): 222-228
    • (2000) IEEE Trans. on Power Delivery , vol.15 , Issue.1 , pp. 222-228
    • Santoso, S.1    Powers, E.J.2    Grady, W.M.3
  • 6
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    • The classification of power system disturbance waveforms using a neural network approach
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    • Ghosh, A.K.1    Lubkeman, D.L.2
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    • Expert system for classification and analysis of power system events
    • Emmanouil Styvaktakis, Math H J Bollen, Irene Y H Gu. Expert system for classification and analysis of power system events. IEEE Trans. on Power Delivery, 2002, 17(2): 423-428
    • (2002) IEEE Trans. on Power Delivery , vol.17 , Issue.2 , pp. 423-428
    • Styvaktakis, E.1    Bollen, M.H.J.2    Gu, I.Y.H.3
  • 10
  • 11
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    • Fault detection using support vector machines and artificial neural networks, augmented by genetic algorithms
    • Jack L B, Nandi A K. Fault detection using support vector machines and artificial neural networks, augmented by genetic algorithms. Mechanical Systems and Signal Processing, 2002, 16(2-3): 373-390
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    • Jack, L.B.1    Nandi, A.K.2
  • 12
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    • Application of support vector machines in financial time series forecasting
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    • Tay, F.E.H.1    Cao, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.