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Volumn , Issue , 2012, Pages

Research on relevance vector machine and its application to fault diagnosis of transformers

Author keywords

kernel function; power transformer fault diagnosis; relevance vector machine; sparse bayesian, support vector machine

Indexed keywords

AUTOMATIC ESTIMATION; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; KERNEL FUNCTION; POWER TRANSFORMER FAULT DIAGNOSIS; PROBABILISTIC PREDICTION; RELEVANCE VECTOR MACHINE; TRANSFORMER FAULT DIAGNOSIS;

EID: 84870493103     PISSN: 21574839     EISSN: 21574847     Source Type: Conference Proceeding    
DOI: 10.1109/APPEEC.2012.6307637     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 1
    • 0003698521 scopus 로고
    • The Institute of Electrical and Electronics Engineers, Transformers Committee of the IEEE Power Engineering Society, IEEE Std. C57.104-1991. The Institute of Electrical and Electronics Engineers, Inc., New York
    • The Institute of Electrical and Electronics Engineers, Transformers Committee of the IEEE Power Engineering Society, IEEE guide for the interpretation of gases generated in oil immersed transformers, IEEE Std. C57.104-1991. The Institute of Electrical and Electronics Engineers, Inc., New York, 1994.
    • (1994) IEEE Guide for the Interpretation of Gases Generated in Oil Immersed Transformers
  • 2
    • 84860687365 scopus 로고
    • Bureau of Standards for the P.R.China, National Technical Committee 44 on Transformer of Standardization Administration of China
    • Bureau of Standards for the P.R.China, GB7252-87: Guide for the analysis and diagnosis of gases dissolved in transformer oil, National Technical Committee 44 on Transformer of Standardization Administration of China, 1987.
    • (1987) GB7252-87: Guide for the Analysis and Diagnosis of Gases Dissolved in Transformer Oil
  • 3
    • 0018021576 scopus 로고
    • IEEE and IEC codes to interpret incipient faults in transformers, using gas in oil analysis
    • Oct
    • R. R. Rogers, "IEEE and IEC codes to interpret incipient faults in transformers, using gas in oil analysis", IEEE Trans. Elect. Insul., vol. 13, no. 5, pp. 349-354, Oct, 1978.
    • (1978) IEEE Trans. Elect. Insul. , vol.13 , Issue.5 , pp. 349-354
    • Rogers, R.R.1
  • 5
    • 0142261066 scopus 로고    scopus 로고
    • Fault diagnosis model for power transformer based on support vector machine and dissolved gas analysis
    • Jul
    • Dong Ming, Meng Yuanyuan, Xu Changxiang, Yanzhang, "Fault diagnosis model for power transformer based on support vector machine and dissolved gas analysis", Proceedings of the CSEE, vol. 23, no. 7, pp. 88-92, Jul, 2003.
    • (2003) Proceedings of the CSEE , vol.23 , Issue.7 , pp. 88-92
    • Dong, M.1    Meng, Y.2    Xu, C.3    Yanzhang4
  • 7
    • 84899032239 scopus 로고    scopus 로고
    • The relevance vector machine
    • S. A. Solla, T. K. Leen, and K.-R. Müller, Eds. Cambridge, MA: MIT Press
    • M. E. Tipping, "The relevance vector machine," in Advances in Neural Information Processing Systems, vol. 12, S. A. Solla, T. K. Leen, and K.-R. Müller, Eds. Cambridge, MA: MIT Press, 2000.
    • (2000) Advances in Neural Information Processing Systems , vol.12
    • Tipping, M.E.1
  • 8
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • M. E. Tipping, "Sparse Bayesian learning and the relevance vector machine," J. Mach. Learn. Res., vol. 1, pp. 211-244, 2001.
    • (2001) J. Mach. Learn. Res. , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 9
    • 56149122400 scopus 로고    scopus 로고
    • Bearing Fault Detection Based on RVM Using Phase Space
    • J
    • Tao Xinmin, Xu jing, Du Baoxiang, et al. Bearing Fault Detection Based on RVM Using Phase Space[J]. Journal of Vibration and Shock, vol. 27, no. 10, pp. 6-10, 2008.
    • (2008) Journal of Vibration and Shock , vol.27 , Issue.10 , pp. 6-10
    • Tao, X.1    Xu, J.2    Du, B.3
  • 10
    • 0000234257 scopus 로고
    • The evidence framework applied to classification networks
    • D. J. C. MacKay, "The evidence framework applied to classification networks," Neural Comput., vol. 4, no. 5, pp. 720-736, 1992.
    • (1992) Neural Comput. , vol.4 , Issue.5 , pp. 720-736
    • MacKay, D.J.C.1
  • 11
    • 0033322387 scopus 로고    scopus 로고
    • Efficient training of RBF networks for classification
    • I. T. Nabney, "Efficient training of RBF networks for classification," in Proc. 9th ICANN, 1999, vol. 1, pp. 210-215.
    • (1999) Proc. 9th ICANN , vol.1 , pp. 210-215
    • Nabney, I.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.