메뉴 건너뛰기




Volumn 4, Issue 7, 2011, Pages 1087-1101

Improved Bagging algorithm for pattern recognition in UHF signals of partial discharges

Author keywords

Partial discharge; Power transformer; Re sampling; Sample information entropy; Ultra high frequency (UHF) detection

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; FRACTAL DIMENSION; FRACTALS; HIGH FREQUENCY TRANSFORMERS; NEURAL NETWORKS; PARTIAL DISCHARGES; POWER TRANSFORMERS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; UHF DEVICES;

EID: 80052169628     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en4071087     Document Type: Article
Times cited : (53)

References (19)
  • 1
    • 0027808474 scopus 로고
    • Neural networks as a tool for recognition of partial discharges
    • Gulski, E.; Krivda, A. Neural networks as a tool for recognition of partial discharges. IEEE Trans. Electr. Insul. 1993, 28, 984-1001.
    • (1993) IEEE Trans. Electr. Insul. , vol.28 , pp. 984-1001
    • Gulski, E.1    Krivda, A.2
  • 2
    • 0028408133 scopus 로고
    • Artificial neural networks for recognition cognition of 3-D partial discharge patterns
    • Satish, L.; Zaengl, W.S. Artificial neural networks for recognition cognition of 3-D partial discharge patterns. IEEE Trans. Dielectr. Electr. Insul. 1994, 1, 265-275.
    • (1994) IEEE Trans. Dielectr. Electr. Insul. , vol.1 , pp. 265-275
    • Satish, L.1    Zaengl, W.S.2
  • 3
    • 4444288431 scopus 로고    scopus 로고
    • Assessment of ESDD on high-voltage insulators using artificial neural network
    • Ahmad, A.S.; Ghosh, P.S.; Ahmed, S.S.; Aljunid, S.A.K. Assessment of ESDD on high-voltage insulators using artificial neural network. Electr. Power Syst. Res. 2004, 72, 131-136.
    • (2004) Electr. Power Syst. Res. , vol.72 , pp. 131-136
    • Ahmad, A.S.1    Ghosh, P.S.2    Ahmed, S.S.3    Aljunid, S.A.K.4
  • 5
    • 77249107870 scopus 로고    scopus 로고
    • Partial discharge source discrimination using a support vector machine
    • Hao, L.; Lewin, P.L. Partial discharge source discrimination using a support vector machine. IEEE Trans. Dielectr. Electr. Insul. 2010, 17, 189-197.
    • (2010) IEEE Trans. Dielectr. Electr. Insul. , vol.17 , pp. 189-197
    • Hao, L.1    Lewin, P.L.2
  • 6
    • 34250206661 scopus 로고    scopus 로고
    • SVM classification of contaminating particles in liquid dielectrics using higher order statistics of electrical and acoustic PD measurements
    • Sharkawy, R.M.; Mangoubi, R.S.; Abdel-Galil, T.K.; Salama, M.M.A.; Bartnikas, R. SVM classification of contaminating particles in liquid dielectrics using higher order statistics of electrical and acoustic PD measurements. IEEE Trans. Dielectr. Electr. Insul. 2007, 14, 669-678.
    • (2007) IEEE Trans. Dielectr. Electr. Insul. , vol.14 , pp. 669-678
    • Sharkawy, R.M.1    Mangoubi, R.S.2    Abdel-Galil, T.K.3    Salama, M.M.A.4    Bartnikas, R.5
  • 10
    • 59749103629 scopus 로고    scopus 로고
    • A new method based on extension theory for partial discharge pattern recognition
    • Chen, H.C.; Gu, F.C.; Lee, C.Y. A new method based on extension theory for partial discharge pattern recognition. WSEAS Trans. Syst. 2008, 12, 1402-1411.
    • (2008) WSEAS Trans. Syst. , vol.12 , pp. 1402-1411
    • Chen, H.C.1    Gu, F.C.2    Lee, C.Y.3
  • 11
    • 60249084777 scopus 로고    scopus 로고
    • Generalization performance of support vector machines and neural networks in runoff modeling
    • Behzad, M.; Asghari, K.; Eazi, M.; Palhang, M. Generalization performance of support vector machines and neural networks in runoff modeling. Expert Syst. Appl. 2009, 36, 7624-7629.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 7624-7629
    • Behzad, M.1    Asghari, K.2    Eazi, M.3    Palhang, M.4
  • 12
    • 33846606846 scopus 로고    scopus 로고
    • A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability
    • Zhao, Z.Q.; Huang, D.S. A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability. Appl. Math. Modell. 2007, 31, 1271-1281.
    • (2007) Appl. Math. Modell. , vol.31 , pp. 1271-1281
    • Zhao, Z.Q.1    Huang, D.S.2
  • 13
    • 0025448521 scopus 로고
    • The strength of weak learn ability
    • Schapire, R.E. The strength of weak learn ability. Mach. Learn. 1990, 5, 197-227.
    • (1990) Mach. Learn. , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 14
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. Bagging predictors. Mach. Learn. 1996, 24, 123-140.
    • (1996) Mach. Learn. , vol.24 , pp. 123-140
    • Breiman, L.1
  • 15
    • 0021518106 scopus 로고
    • A theory of the learnable, communications of the ACM
    • Valiant, L.G. A theory of the learnable, communications of the ACM. Res. Contrib. 1984, 27, 1134-1142.
    • (1984) Res. Contrib. , vol.27 , pp. 1134-1142
    • Valiant, L.G.1
  • 16
    • 79952443353 scopus 로고    scopus 로고
    • Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy
    • Masoumi, B.; Meybodi, M.R. Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy. Expert Syst. Appl. 2010, 12, 8105-8118.
    • (2010) Expert Syst. Appl. , vol.12 , pp. 8105-8118
    • Masoumi, B.1    Meybodi, M.R.2
  • 18
    • 77954679909 scopus 로고    scopus 로고
    • Multi-scale grid dimension extraction and recognition of ultra-high frequency signals of transformer partial discharge
    • Li, J.; Wang, X.W.; Jin, Z.R.; Sun, C.X.; Cheng, C.K. Multi-scale grid dimension extraction and recognition of ultra-high frequency signals of transformer partial discharge. Power Syst. Technol. 2010, 34, 159-163.
    • (2010) Power Syst. Technol. , vol.34 , pp. 159-163
    • Li, J.1    Wang, X.W.2    Jin, Z.R.3    Sun, C.X.4    Cheng, C.K.5
  • 19
    • 51749123574 scopus 로고    scopus 로고
    • Classification of electrocardiogram signals with support vector machines and particle swarm optimization
    • Melgani, F.; Bazi, Y. Classification of electrocardiogram signals with support vector machines and particle swarm optimization. IEEE Trans. Inf. Technol. Biomed. 2008, 12, 667-677.
    • (2008) IEEE Trans. Inf. Technol. Biomed. , vol.12 , pp. 667-677
    • Melgani, F.1    Bazi, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.