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Volumn , Issue , 2007, Pages

Analysis of partial discharge measurement data using a support vector machine

Author keywords

On line monitoring; Partial discharge; Partial discharge classification; Pattern recognition; Support vector machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISCHARGE (FLUID MECHANICS); ELECTRIC MACHINE INSULATION; FACE RECOGNITION; FEATURE EXTRACTION; FLUID MECHANICS; FREQUENCY DOMAIN ANALYSIS; IMAGE RETRIEVAL; LEARNING SYSTEMS; RESEARCH AND DEVELOPMENT MANAGEMENT; VECTORS;

EID: 50449096613     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCORED.2007.4451430     Document Type: Conference Paper
Times cited : (18)

References (18)
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  • 4
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    • Neural Networks as a tool for the Recognition of Partial Discharges
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    • Gulski, E.1    Krivda, A.2
  • 6
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    • Application of Genetic Algorithms to Pattern Recognition of Deffects in GIS
    • W. Ziomek, M. Reformat, and E. Kuffel, "Application of Genetic Algorithms to Pattern Recognition of Deffects in GIS," IEEE Trans. Dielectr. Electr. Insul., Vol. 7, pp. 161-168, 2000.
    • (2000) IEEE Trans. Dielectr. Electr. Insul , vol.7 , pp. 161-168
    • Ziomek, W.1    Reformat, M.2    Kuffel, E.3
  • 7
    • 0036073141 scopus 로고    scopus 로고
    • Application of Acoustic Emission Techniques and Artificial Neural Networks to Partial Discharge Classification
    • April
    • Y. Tian, P.L. Lewin, A.E. Davies, S.J. Sutton and S.G. Swingler, "Application of Acoustic Emission Techniques and Artificial Neural Networks to Partial Discharge Classification", IEEE Conf. Rec. ISEI, pp. 119-123, April 2002.
    • (2002) IEEE Conf. Rec. ISEI , pp. 119-123
    • Tian, Y.1    Lewin, P.L.2    Davies, A.E.3    Sutton, S.J.4    Swingler, S.G.5
  • 9
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    • Partial Discharge Identification by Using a Support Vector Machine
    • October
    • L. Hao, P.L. Lewin, Y. Tian and S.J. Dodd, "Partial Discharge Identification by Using a Support Vector Machine", IEEE Proc. CEIDP, pp. 414-417, October 2005.
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    • Hao, L.1    Lewin, P.L.2    Tian, Y.3    Dodd, S.J.4
  • 12
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    • Improving multiclass text classification with the support vector machine
    • Technical report, Massachasetts Institute of Technology, Revised AI Memo-2001-026
    • Jason D.M. Rennie and R. Rifkin, "Improving multiclass text classification with the support vector machine", Technical report, Massachasetts Institute of Technology, Revised AI Memo-2001-026, 2002.
    • (2002)
    • Rennie, J.D.M.1    Rifkin, R.2
  • 16
    • 27144545544 scopus 로고    scopus 로고
    • Classification of Power System Stability using Support Vector Machines
    • IEEE, June
    • C. Andersson, J. E. Solem, B. Eliasson, "Classification of Power System Stability using Support Vector Machines," Power Engineering Society General Meeting, IEEE, Vol. 1, pp. 650-655, June 2005
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    • Andersson, C.1    Solem, J.E.2    Eliasson, B.3
  • 17
    • 15944365134 scopus 로고    scopus 로고
    • A new algorithm of improving fault location based on SVM
    • IEEE PES
    • Z. Jin and H. R. He, "A new algorithm of improving fault location based on SVM", Power Systems Conf. and Exposition, IEEE PES, Vol.2 pp.609-612, 2004
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  • 18
    • 33845893205 scopus 로고    scopus 로고
    • Partial Discharge Monitoring of power Transformers,
    • Phd Thesis, University of Southampton
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.