메뉴 건너뛰기




Volumn 8, Issue 1 A, 2012, Pages 361-374

Selection of proper artificial neural networks for fault classification on single circuit transmission line

Author keywords

Fault classification; Neural networks; Transmission line; Wavelet transform

Indexed keywords

ATP/EMTP; BACK-PROPAGATION NEURAL NETWORKS; CURRENT SIGNAL; DECISION ALGORITHMS; FAULT CLASSIFICATION; FAULTS DETECTION; HIGH FREQUENCY COMPONENTS; MOTHER WAVELETS; PROBABILISTIC NEURAL NETWORKS; RADIAL BASIS FUNCTION NEURAL NETWORKS; SEQUENCE CURRENT; SINGLE CIRCUIT TRANSMISSION LINE; TRAINING PROCESS; TRAINING TIME; TRANSMISSION LINE;

EID: 84856950586     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (37)
  • 1
    • 0018441376 scopus 로고
    • The laboratory investigation of a digital system for the protection of transmission lines
    • W. D. Breingan, M. M. Chen and T. F. Gallen, The laboratory investigation of a digital system for the protection of transmission lines, IEEE Transactions on Power Apparatus and Systems, vol.98, no.2, pp.350-368, 1979.
    • (1979) IEEE Transactions on Power Apparatus and Systems , vol.98 , Issue.2 , pp. 350-368
    • Breingan, W.D.1    Chen, M.M.2    Gallen, T.F.3
  • 2
    • 0022060693 scopus 로고
    • Adaptive Kalman filtering in computer relaying: Fault classification using voltage models
    • A. A. Girgis and R. G. Brown, Adaptive Kalman filtering in computer relaying: Fault classification using voltage models, IEEE Transactions on Power Apparatus and Systems, vol.104, pp.1168-1177, 1985.
    • (1985) IEEE Transactions on Power Apparatus and Systems , vol.104 , pp. 1168-1177
    • Girgis, A.A.1    Brown, R.G.2
  • 3
    • 0019063836 scopus 로고
    • A statistical decision theoretical approach to digital relaying
    • T. Sakaguchi, A statistical decision theoretical approach to digital relaying, IEEE Transactions on Power Apparatus and Systems, vol.99, pp. 1918-1926, 1980.
    • (1980) IEEE Transactions on Power Apparatus and Systems , vol.99 , pp. 1918-1926
    • Sakaguchi, T.1
  • 4
    • 0001354877 scopus 로고
    • High-speed fault detection and classification with neural nets
    • M. Kezunovic, I. Rikalo and D. J. Sobajic, High-speed fault detection and classification with neural nets, Electric Power Systems Research, vol.34, pp.109-116, 1995.
    • (1995) Electric Power Systems Research , vol.34 , pp. 109-116
    • Kezunovic, M.1    Rikalo, I.2    Sobajic, D.J.3
  • 6
    • 0032186644 scopus 로고    scopus 로고
    • Fuzzy-neuro approach to fault classification for transmission line protection
    • H. Wang and W. W. L. Keerthipala, Fuzzy-neuro approach to fault classification for transmission line protection, IEEE Trans, on Power Delivery, vol.13, no.4, pp.1093-1104, 1998.
    • (1998) IEEE Trans, on Power Delivery , vol.13 , Issue.4 , pp. 1093-1104
    • Wang, H.1    Keerthipala, W.W.L.2
  • 7
    • 0031282032 scopus 로고    scopus 로고
    • Comparison studies of five neural network based fault classification for complex transmission lines
    • Y. H. Song, Q. X. Xuan and A. T. Johns, Comparison studies of five neural network based fault classification for complex transmission lines, Electric Power Systems Research, vol.43, pp.125-132, 1997.
    • (1997) Electric Power Systems Research , vol.43 , pp. 125-132
    • Song, Y.H.1    Xuan, Q.X.2    Johns, A.T.3
  • 8
    • 0035481215 scopus 로고    scopus 로고
    • A fault classification method by RBF neural network with OLS learning procedure
    • W. M. Lin, C. D. Yang, J. H. Lin and M. T. Tsay, A fault classification method by RBF neural network with OLS learning procedure, IEEE Trans, on Power Delivery, vol. 16, no.4, pp.473-477, 2001.
    • (2001) IEEE Trans, on Power Delivery , vol.16 , Issue.4 , pp. 473-477
    • Lin, W.M.1    Yang, C.D.2    Lin, J.H.3    Tsay, M.T.4
  • 10
    • 0033742371 scopus 로고    scopus 로고
    • Wavelet transforms in power systems: Part I-General introduction to the wavelet transforms
    • C. H. Kim and R. Aggarwal, Wavelet transforms in power systems: Part I-General introduction to the wavelet transforms, IEE Power Engineering Journal, vol.14, no.2, pp.81-87, 2000.
    • (2000) IEE Power Engineering Journal , vol.14 , Issue.2 , pp. 81-87
    • Kim, C.H.1    Aggarwal, R.2
  • 12
    • 0036815479 scopus 로고    scopus 로고
    • A novel fault detection technique of high impedance arcing faults in transmission lines using the wavelet transform
    • C. H. Kim, H. Kim, Y. H. Ko, S. H. Byun, R. K. Aggrawal and A. T. Johns, A novel fault detection technique of high impedance arcing faults in transmission lines using the wavelet transform, IEEE Trans, on Power Delivery, vol. 17, no.4, pp.921-929, 2002.
    • (2002) IEEE Trans, on Power Delivery , vol.17 , Issue.4 , pp. 921-929
    • Kim, C.H.1    Kim, H.2    Ko, Y.H.3    Byun, S.H.4    Aggrawal, R.K.5    Johns, A.T.6
  • 14
    • 34548855348 scopus 로고    scopus 로고
    • A wavelet-fuzzy combined approach for classification and location of transmission line faults
    • M. J. Reddy and D. K. Mohanta, A wavelet-fuzzy combined approach for classification and location of transmission line faults, Electrical Power and Energy Systems, vol.29, pp.669-678, 2007.
    • (2007) Electrical Power and Energy Systems , vol.29 , pp. 669-678
    • Reddy, M.J.1    Mohanta, D.K.2
  • 15
    • 70350106788 scopus 로고    scopus 로고
    • Applying wavelet entropy principle in fault classification
    • S. El Safty and A. El-Zonkoly, Applying wavelet entropy principle in fault classification, Electrical Power and Energy Systems, vol.31, pp.604-607, 2009.
    • (2009) Electrical Power and Energy Systems , vol.31 , pp. 604-607
    • El Safty, S.1    El-Zonkoly, A.2
  • 16
    • 1942536116 scopus 로고    scopus 로고
    • Combined fuzzy-logic wavelet-based fault classification technique for power system relaying
    • O. A. S. Youssef, Combined fuzzy-logic wavelet-based fault classification technique for power system relaying, IEEE Trans, on Power Delivery, vol. 19, no.2, pp.582-589, 2004.
    • (2004) IEEE Trans, on Power Delivery , vol.19 , Issue.2 , pp. 582-589
    • Youssef, O.A.S.1
  • 17
    • 7244232685 scopus 로고    scopus 로고
    • Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line
    • A. K. Pradhan, A. Routray, S. Pati and D. K. Pradhan, Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line, IEEE Trans, on Power Delivery, vol. 19, no.4, pp.1612-1618, 2004.
    • (2004) IEEE Trans, on Power Delivery , vol.19 , Issue.4 , pp. 1612-1618
    • Pradhan, A.K.1    Routray, A.2    Pati, S.3    Pradhan, D.K.4
  • 18
    • 33746190661 scopus 로고    scopus 로고
    • Fault detection, classification and fault phase selection approach based on high-frequency voltage signals applied to a series-compensated line
    • C. Aguilera, E. Orduna and G. Ratta, Fault detection, classification and fault phase selection approach based on high-frequency voltage signals applied to a series-compensated line, IEE Proc. of Generation, Transmission and Distribution, vol. 153, no.4, pp.469-475, 2006.
    • (2006) IEE Proc. of Generation, Transmission and Distribution , vol.153 , Issue.4 , pp. 69-475
    • Aguilera, C.1    Orduna, E.2    Ratta, G.3
  • 19
    • 33750136920 scopus 로고    scopus 로고
    • Fault detection and classification in transmission lines based on wavelet transform and ANN
    • K. M. Silva, B. A. Souza and N. S. D. Brito, Fault detection and classification in transmission lines based on wavelet transform and ANN, IEEE Trans, on Power Delivery, vol.21, no.4, pp.2058-2063, 2006.
    • (2006) IEEE Trans, on Power Delivery , vol.21 , Issue.4 , pp. 2058-2063
    • Silva, K.M.1    Souza, B.A.2    Brito, N.S.D.3
  • 21
    • 67349144119 scopus 로고    scopus 로고
    • Fault classification and faulted-phase selection based on the initial current traveling wave
    • X. Dong, W. Kong and T. Cui, Fault classification and faulted-phase selection based on the initial current traveling wave, IEEE Trans, on Power Delivery, vol.24, no.2, pp.552-559, 2009.
    • (2009) IEEE Trans, on Power Delivery , vol.24 , Issue.2 , pp. 552-559
    • Dong, X.1    Kong, W.2    Cui, T.3
  • 22
    • 65549106420 scopus 로고    scopus 로고
    • Decision tree-based fault zone identification and fault classification in flexible AC transmissions-based transmission line
    • S. R. Samantaray, Decision tree-based fault zone identification and fault classification in flexible AC transmissions-based transmission line, IET-Generation, Transmission and Distribution, vol.3, no.5, pp.425-436, 2009.
    • (2009) IET-Generation, Transmission and Distribution , vol.3 , Issue.5 , pp. 425-436
    • Samantaray, S.R.1
  • 23
    • 77950869730 scopus 로고    scopus 로고
    • Fault classification scheme based on the adaptive resonance theory neural network for protection of transmission lines
    • J. Upendar, C. P. Gupta and G. K. Singh, Fault classification scheme based on the adaptive resonance theory neural network for protection of transmission lines, Electric Power Components and Systems, vol.38, no.4, pp.424-444, 2010.
    • (2010) Electric Power Components and Systems , vol.38 , Issue.4 , pp. 424-444
    • Upendar, J.1    Gupta, C.P.2    Singh, G.K.3
  • 24
    • 77951995550 scopus 로고    scopus 로고
    • Transmission line fault type classification based on novel features and neuro-fuzzy system
    • T. Nguyen and Y. Liao, Transmission line fault type classification based on novel features and neuro-fuzzy system, Electric Power Components and Systems, vol.38, no.6, pp.695-709, 2010.
    • (2010) Electric Power Components and Systems , vol.38 , Issue.6 , pp. 695-709
    • Nguyen, T.1    Liao, Y.2
  • 26
    • 69949122673 scopus 로고    scopus 로고
    • Determining the contributors for a multivariate SPC chart signal using artificial neural networks and support vector machine
    • Y. E. Shao and B.-S. Hsu, Determining the contributors for a multivariate SPC chart signal using artificial neural networks and support vector machine, International Journal of Innovative Computing, Information and Control, vol.5, no.12(B), pp.4899-4906, 2009.
    • (2009) International Journal of Innovative Computing, Information and Control , vol.5 , Issue.12 B , pp. 4899-4906
    • Shao, Y.E.1    Hsu, B.-S.2
  • 27
    • 63549137283 scopus 로고    scopus 로고
    • A hybrid artificial neural networks and particle swarm optimization for function approximation
    • T. Su, J. Jhang and C. Hou, A hybrid artificial neural networks and particle swarm optimization for function approximation, International Journal of Innovative Computing, Information and Control, vol.4, no.9, pp.2363-2374, 2008.
    • (2008) International Journal of Innovative Computing, Information and Control , vol.4 , Issue.9 , pp. 2363-2374
    • Su, T.1    Jhang, J.2    Hou, C.3
  • 28
    • 78650278103 scopus 로고    scopus 로고
    • Prediction of density and mechanical properties in syntactic foam using artificial neural network
    • C. He, H. Li, W. Yu, X. Liu, X. Liang and H. Peng, Prediction of density and mechanical properties in syntactic foam using artificial neural network, ICIC Express Letters, vol.4, no.6(B), pp.2383-2388, 2010.
    • (2010) ICIC Express Letters , vol.4 , Issue.6 B , pp. 2383-2388
    • He, C.1    Li, H.2    Yu, W.3    Liu, X.4    Liang, X.5    Peng, H.6
  • 29
    • 77953910491 scopus 로고    scopus 로고
    • Prediction of compressive yield load for metal hollow sphere with crack based on artificial neural network
    • C. He, H. Li, B. Wang, W. Yu and X. Liang, Prediction of compressive yield load for metal hollow sphere with crack based on artificial neural network, ICIC Express Letters, vol.3, no.4(B), pp.1263-1268, 2009.
    • (2009) ICIC Express Letters , vol.3 , Issue.4 B , pp. 1263-1268
    • He, C.1    Li, H.2    Wang, B.3    Yu, W.4    Liang, X.5
  • 30
    • 33745019613 scopus 로고    scopus 로고
    • Internal fault classification in transformer windings using combination of discrete wavelet transforms and back-propagation neural networks
    • A. Ngaopitakkul and A. Kunakorn, Internal fault classification in transformer windings using combination of discrete wavelet transforms and back-propagation neural networks, International Journal of Control, Automation, and Systems, vol.4, no.3, pp.365-371, 2006.
    • (2006) International Journal of Control, Automation, and Systems , vol.4 , Issue.3 , pp. 365-371
    • Ngaopitakkul, A.1    Kunakorn, A.2
  • 31
    • 78649861481 scopus 로고    scopus 로고
    • Identification of fault types for single circuit transmission line using discrete wavelet transform and artificial neural networks
    • Hong Kong
    • P. Chiradeja and A. Ngaopitakkul, Identification of fault types for single circuit transmission line using discrete wavelet transform and artificial neural networks, Proc. of International Conference on Electrical Engineering, Hong Kong, pp. 1520-1525, 2009.
    • (2009) Proc. of International Conference on Electrical Engineering , pp. 1520-1525
    • Chiradeja, P.1    Ngaopitakkul, A.2
  • 37
    • 20444473469 scopus 로고    scopus 로고
    • Discrete wavelet transform and probabilistic neural networks algorithm for identification of fault locations on transmission systems
    • Singapore
    • A. Ngaopitakkul, A. Kunakorn and S. Bunjongjit, Discrete wavelet transform and probabilistic neural networks algorithm for identification of fault locations on transmission systems, Proc. of International Conference on Power System Technology, Singapore, pp.270-274, 2004.
    • (2004) Proc. of International Conference on Power System Technology , pp. 270-274
    • Ngaopitakkul, A.1    Kunakorn, A.2    Bunjongjit, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.