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Volumn , Issue , 2007, Pages 1311-1316

Classification of partial discharge using PCA and SOM

Author keywords

Partial Discharge (PD); Principal Component Analysis (PCA); Self Organizing Map (SOM)

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; DISCHARGE (FLUID MECHANICS); FEATURE EXTRACTION; FINANCIAL DATA PROCESSING; METHOD OF MOMENTS; STRENGTH OF MATERIALS;

EID: 51349127687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 2
    • 0027850321 scopus 로고    scopus 로고
    • Kreuger, F.H., E. Gulski, and A. Krivda, Classification of partial discharges. Electrical Insulation, IEEE Transactions on [see also Dielectrics and Electrical Insulation, IEEE Transactions on], 1993. 28(6): p. 917-931.
    • Kreuger, F.H., E. Gulski, and A. Krivda, Classification of partial discharges. Electrical Insulation, IEEE Transactions on [see also Dielectrics and Electrical Insulation, IEEE Transactions on], 1993. 28(6): p. 917-931.
  • 4
    • 0003209045 scopus 로고    scopus 로고
    • Self-organizing maps
    • 3rd ed, Berlin; New York: Springer. xx, 501 p
    • Kohonen, T., Self-organizing maps. 3rd ed. Springer series in information sciences; 30. 2001, Berlin; New York: Springer. xx, 501 p.
    • (2001) Springer series in information sciences , vol.30
    • Kohonen, T.1
  • 5
    • 0041410083 scopus 로고    scopus 로고
    • Using improved self-organizing map for partial discharge diagnosis of large turbogenerators
    • Yu, H. and Y.H. Song, Using improved self-organizing map for partial discharge diagnosis of large turbogenerators. Energy Conversion, IEEE Transactions on, 2003. 18(3): p. 392-399.
    • (2003) Energy Conversion, IEEE Transactions on , vol.18 , Issue.3 , pp. 392-399
    • Yu, H.1    Song, Y.H.2
  • 8
    • 0035483913 scopus 로고    scopus 로고
    • Detection and classification of partial discharge using a feature decomposition-based modular neural network
    • Tao, H. and M.T.C. Fang, Detection and classification of partial discharge using a feature decomposition-based modular neural network. Instrumentation and Measurement, IEEE Transactions on, 2001. 50(5): p. 1349-1354.
    • (2001) Instrumentation and Measurement, IEEE Transactions on , vol.50 , Issue.5 , pp. 1349-1354
    • Tao, H.1    Fang, M.T.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.