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Volumn 3, Issue , 2000, Pages 2251-2256

Diagnosis and identification of transformer faults from frequency response data

Author keywords

and Artificial Neural Network (ANN); Frequency Response Analysis (FRA); Low Voltage Impulse (LVI); Power Transformer

Indexed keywords

FREQUENCY RESPONSE; NEURAL NETWORKS; POWER TRANSFORMERS; SIGNAL PROCESSING;

EID: 84954431274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PESW.2000.847706     Document Type: Conference Paper
Times cited : (24)

References (8)
  • 1
    • 0033355780 scopus 로고    scopus 로고
    • Keeping Up: Technological Challenges in Power Delivery
    • July
    • Karl E. Stahlkopf, "Keeping Up: Technological Challenges in Power Delivery", IEEE Power Engineering Review, July 1999, pp. 4-7.
    • (1999) IEEE Power Engineering Review , pp. 4-7
    • Stahlkopf, K.E.1
  • 3
    • 0026623848 scopus 로고
    • A New Frequency Response Analysis Method for Power Transformers
    • Vaessen P T M and Hanique E,"A New Frequency Response Analysis Method for Power Transformers", IEEE Trans. On Power Delivery, Vol.7, No.1, 1992,pp 384-391.
    • (1992) IEEE Trans. on Power Delivery , vol.7 , Issue.1 , pp. 384-391
    • Vaessen, P.T.M.1    Hanique, E.2
  • 7
    • 0030193234 scopus 로고    scopus 로고
    • Subspace-Based Multivariable System Identification from Frequency Response Data
    • T.McKelvey, H.Akcay, and L. Ljung, "Subspace-Based Multivariable System Identification from Frequency Response Data", IEEE Trans. On Automatic Control, Vol.41, No.7, 1996,pp 960-979.
    • (1996) IEEE Trans. on Automatic Control , vol.41 , Issue.7 , pp. 960-979
    • McKelvey, T.1    Akcay, H.2    Ljung, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.