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Volumn 4426 LNAI, Issue , 2007, Pages 680-687

Phase space reconstruction based classification of power disturbances using support vector machines

Author keywords

Disturbance classification; Phase space reconstruction; Power quality; Support vector machines

Indexed keywords

BINARY IMAGES; COMPUTER SIMULATION; FEATURE EXTRACTION; POWER QUALITY; SUPPORT VECTOR MACHINES;

EID: 38049146252     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71701-0_73     Document Type: Conference Paper
Times cited : (3)

References (12)
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    • Wavelet Transform Based Fuzzy Inference System for Power Quality Classification
    • Tiwari, A.K., Shukla, K.K.: Wavelet Transform Based Fuzzy Inference System for Power Quality Classification. Lecture Notes in Computer Science 2275 (2002) 148-155
    • (2002) Lecture Notes in Computer Science , vol.2275 , pp. 148-155
    • Tiwari, A.K.1    Shukla, K.K.2
  • 4
    • 33244459555 scopus 로고    scopus 로고
    • A Self-Organizing Learning Array System for Power Quality Classification Based on Wavelet Transform
    • He, H.B., Starzyk J.A.: A Self-Organizing Learning Array System for Power Quality Classification Based on Wavelet Transform. IEEE Transaction on Power Delivery 21 (1) (2006) 286-295
    • (2006) IEEE Transaction on Power Delivery , vol.21 , Issue.1 , pp. 286-295
    • He, H.B.1    Starzyk, J.A.2
  • 6
    • 0346076724 scopus 로고    scopus 로고
    • Multiresolution S-Transform-Based Fuzzy Recognition System for Power Quality Events
    • Chilukuri, M.V., Dash, P.K.: Multiresolution S-Transform-Based Fuzzy Recognition System for Power Quality Events. IEEE Transaction on Power Delivery 19 (1) (2004) 323-330
    • (2004) IEEE Transaction on Power Delivery , vol.19 , Issue.1 , pp. 323-330
    • Chilukuri, M.V.1    Dash, P.K.2
  • 8
    • 33745894103 scopus 로고    scopus 로고
    • Recognition and Classification of Power Quality Disturbances Based on Self-adaptive Wavelet Neural Network
    • Tong, W.M., Song, X.L., Zhang, D.Z.: Recognition and Classification of Power Quality Disturbances Based on Self-adaptive Wavelet Neural Network. Lecture Notes in Computer Science 3972 (2006) 1386-1394
    • (2006) Lecture Notes in Computer Science , vol.3972 , pp. 1386-1394
    • Tong, W.M.1    Song, X.L.2    Zhang, D.Z.3
  • 9
    • 33646200286 scopus 로고    scopus 로고
    • Self Organizing Map (SOM) Approach for Classification of Power Quality Events
    • Germen, E., Ece, D.G., Gerek, Ö.N.: Self Organizing Map (SOM) Approach for Classification of Power Quality Events. Lecture Notes in Computer Science 3696 (2005) 403-408
    • (2005) Lecture Notes in Computer Science , vol.3696 , pp. 403-408
    • Germen, E.1    Ece, D.G.2    Gerek, O.N.3
  • 10
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    • Analysis. Cambridge University Press
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    • (1997) Series
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  • 11
    • 33749396024 scopus 로고    scopus 로고
    • Li, Z.Y., Wu, W.L.: Detection and Identification of Power Disturbance Signals Based on Nonlinear Time Series. Proceedings of the WCICA2006 9 (2006) 7646-7650
    • Li, Z.Y., Wu, W.L.: Detection and Identification of Power Disturbance Signals Based on Nonlinear Time Series. Proceedings of the WCICA2006 9 (2006) 7646-7650


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.