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Volumn , Issue , 2016, Pages

Incipient fault diagnosis in power transformers by clustering and adapted KNN

Author keywords

Dissolved Gas Analysis (DGA); Incipient Fault; K Nearest Neighbor Algorithm (KNN); Power Transformer

Indexed keywords

FAILURE ANALYSIS; LEARNING ALGORITHMS; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION; POWER TRANSFORMERS;

EID: 85006802950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AUPEC.2016.7749387     Document Type: Conference Paper
Times cited : (11)

References (13)
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  • 4
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    • Dissolved gas analysis technique for incipient fault diagnosis in power transformers: A bibliographic survey
    • S. Singh and M.N. Bandyopadhyay, "Dissolved gas analysis technique for incipient fault diagnosis in power transformers: A bibliographic survey, " IEEE Electr Insul Mag, vol.26 pp.41-46, 2010.
    • (2010) IEEE Electr Insul Mag , vol.26 , pp. 41-46
    • Singh, S.1    Bandyopadhyay, M.N.2
  • 6
    • 80054682258 scopus 로고    scopus 로고
    • Power transformer fault diagnosis based on dissolved gas analysis by support vector machine"
    • K. Bacha, S. Souahlia and M. Gossa, "Power transformer fault diagnosis based on dissolved gas analysis by support vector machine", Electric Power Systems Research, vol. 83, pp.73-79, 2012.
    • (2012) Electric Power Systems Research , vol.83 , pp. 73-79
    • Bacha, K.1    Souahlia, S.2    Gossa, M.3
  • 7
    • 84878474087 scopus 로고    scopus 로고
    • Dissolved gas analysis of mineral oil for power transformer fault diagnosis using fuzzy logic
    • Y.C. Huang and H.C. Sun, "Dissolved gas analysis of mineral oil for power transformer fault diagnosis using fuzzy logic, " IEEE Trans Dielectr Electr Insul, vol.20, pp.974-981, 2013.
    • (2013) IEEE Trans Dielectr Electr Insul , vol.20 , pp. 974-981
    • Huang, Y.C.1    Sun, H.C.2
  • 8
    • 84876007844 scopus 로고    scopus 로고
    • Artificial neural network (ANN) application in dissolved gas analysis (DGA) methods for the detection of incipient faults in oil-filled power transformer
    • F. Zakaria, D. Johari and I. Musirin, "Artificial neural network (ANN) application in dissolved gas analysis (DGA) methods for the detection of incipient faults in oil-filled power transformer, " in: Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference, pp. 328-332, 2012.
    • (2012) Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference , pp. 328-332
    • Zakaria, F.1    Johari, D.2    Musirin, I.3
  • 10
    • 85006787250 scopus 로고    scopus 로고
    • A novel hybrid Kharmonic means and gravitational search algorithm approach for clustering
    • M.H. Yin, Y. Yang and Fengqin, "A novel hybrid Kharmonic means and gravitational search algorithm approach for clustering, " Engineering Applications of Artificial Intelligence, pp. 306-317, 2011.
    • (2011) Engineering Applications of Artificial Intelligence , pp. 306-317
    • Yin, M.H.1    Yang, Y.2
  • 11
    • 79151468703 scopus 로고    scopus 로고
    • An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering
    • T. Niknam, E.T. Fard and N. Pourjafarian, "An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering, " Engineering Applications of Artificial Intelligence, vol.24, pp. 306-317, 2011.
    • (2011) Engineering Applications of Artificial Intelligence , vol.24 , pp. 306-317
    • Niknam, T.1    Fard, E.T.2    Pourjafarian, N.3
  • 12
    • 84963796013 scopus 로고    scopus 로고
    • Interpretation of DGA for transformer fault diagnosis with complementary SaE-ELM and arctangent transform
    • S. Li, G. Wu, B. Gao, C. Hao, D. Xin and X. Yin, "Interpretation of DGA for transformer fault diagnosis with complementary SaE-ELM and arctangent transform, " IEEE Trans Dielectr Electr Insul, vol.23 pp.586-595, 2016
    • (2016) IEEE Trans Dielectr Electr Insul , vol.23 , pp. 586-595
    • Li, S.1    Wu, G.2    Gao, B.3    Hao, C.4    Xin, D.5    Yin, X.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.