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Volumn , Issue , 2012, Pages

Wavelet transforms for fault detection using SVM in Power Systems

Author keywords

Fault Detection; Health Monitoring; Power Systems; Smart Grid; SVM; Wavelet Transforms

Indexed keywords

CLASSIFICATION ACCURACY; HEALTH MONITORING; ON-MACHINES; SMART GRID; SVM;

EID: 84876016371     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PEDES.2012.6484324     Document Type: Conference Paper
Times cited : (12)

References (11)
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  • 2
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  • 3
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    • Mitigating Blackouts via Smart Relays: A Machine Learning Approach
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    • (2011) Proceedings of IEEE , vol.99 , Issue.1 , pp. 94-118
    • Zhang, Y.1    Marija, D.I.2    Ozav, K.T.3
  • 4
    • 77249107870 scopus 로고    scopus 로고
    • Partial discharge source discrimination using a support vector machine
    • L.Hao, P.L.Lewin. "Partial Discharge Source Discrimination using a Support Vector Machine" in IEEE Trans. On Dielectrics and Electrical Insulation Vo.17, No.1 p.189-197 , 2010
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    • Hao, L.1    Lewin, P.L.2
  • 5
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    • An adaptive approach based on kpca and svm for real-time fault diagnosis of hvcbs
    • Jianjun Ni, Chuanbiao Chao, Simon X. Yang. "An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs" in IEEE Trans. on Power Delivery Vol.26 No.3 p.1960-1971 , 2011
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    • T.K. Abdel Galil, A.M.Youssef, M.M.A. Salama. "Power Quality Disturbance Classification Using the Inductive Inference Approach" in IEEE Trans. on Power Delivery, Vo.19 No.4 p.1812-1818, 2004
    • (2004) IEEE Trans. on Power Delivery , vol.19 , Issue.4 , pp. 1812-1818
    • Abdel Galil, T.K.1    Youssef, A.M.2    Salama, M.M.A.3
  • 10
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    • Using mutual information for selecting features in supervised neural net learning
    • R. Battiti, "Using mutual information for selecting features in supervised neural net learning", IEEE Trans. Neural Networks, vol. 5, 1994
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  • 11
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    • Feature selection based on mutual information: Criteria of maxdependency, max-relevance and minredundancy
    • Aug
    • H.Peng, F.Long, and C.Ding, "Feature selection based on mutual information: Criteria of maxdependency, max-relevance and minredundancy," IEEE Trans. Pattern Anal. Mach.Intell., vol.27, no.8, Aug.2005
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    • Peng, H.1    Long, F.2    Ding, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.