메뉴 건너뛰기




Volumn 28, Issue 1, 2008, Pages 106-110

Application of LS-SVM in classification of power quality disturbances

Author keywords

BP neural network; Classification; Least square support vector machine; Power quality; Wavelet packet

Indexed keywords

BACKPROPAGATION; NEURAL NETWORKS; POWER QUALITY;

EID: 39149123501     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (77)

References (15)
  • 1
    • 0033207874 scopus 로고    scopus 로고
    • Power quality detection and classification using wavelet-multiresolution signal decomposition
    • Gaouda A M. Salaam M M A, Sultan M R, et al. Power quality detection and classification using wavelet-multiresolution signal decomposition [J]. IEEE Trans on Power Delivery, 1999, 14 (4): 1469-1476.
    • (1999) IEEE Trans on Power Delivery , vol.14 , Issue.4 , pp. 1469-1476
    • Gaouda, A.M.1    Salaam, M.M.A.2    Sultan, M.R.3
  • 2
    • 0034171498 scopus 로고    scopus 로고
    • Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems
    • Gaouda A M, Salaam M M A, Sultan M R, et al. Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems [J]. IEEE Trans on Power Delivery, 2000, 15 (2): 478-485.
    • (2000) IEEE Trans on Power Delivery , vol.15 , Issue.2 , pp. 478-485
    • Gaouda, A.M.1    Salaam, M.M.A.2    Sultan, M.R.3
  • 3
    • 7244258874 scopus 로고    scopus 로고
    • Wavelet-based neural network for power disturbance recognition and classification
    • Zwe LeeGaing. Wavelet-based neural network for power disturbance recognition and classification [J]. IEEE Trans on Power Delivery, 2004, 19 (4): 1560-1568.
    • (2004) IEEE Trans on Power Delivery , vol.19 , Issue.4 , pp. 1560-1568
    • LeeGaing, Z.1
  • 4
    • 4043167617 scopus 로고    scopus 로고
    • Classification method of power quality disturbance based on wavelet packet decomposition
    • in Chinese
    • Wang Chengshan, Wang Jidong. Classification method of power quality disturbance based on wavelet packet decomposition [J]. Power System Technology, 2004, 28 (15): 78-82 (in Chinese).
    • (2004) Power System Technology , vol.28 , Issue.15 , pp. 78-82
    • Wang, C.1    Wang, J.2
  • 5
    • 2542499950 scopus 로고    scopus 로고
    • Power quality disturbance classification based on time-domain, rule base and wavelet multi-resolution decomposition
    • in Chinese
    • Zheng Gang, Shi Meixiang, Liu Ding, et al. Power quality disturbance classification based on time-domain, rule base and wavelet multi-resolution decomposition [J]. Power System Technology, 2004, 28 (3): 65-68 (in Chinese).
    • (2004) Power System Technology , vol.28 , Issue.3 , pp. 65-68
    • Zheng, G.1    Shi, M.2    Liu, D.3
  • 6
    • 16644397169 scopus 로고    scopus 로고
    • S-transform based classification of power quality disturbance signals by support vector machines
    • in Chinese
    • Zhan Yong. Cheng Haozhong, Ding Yifeng, et al. S-transform based classification of power quality disturbance signals by support vector machines [J]. Proceedings of the CSEE, 2005, 25 (4): 51-56 (in Chinese).
    • (2005) Proceedings of the CSEE , vol.25 , Issue.4 , pp. 51-56
    • Zhan, Y.1    Cheng, H.2    Ding, Y.3
  • 7
    • 3242793338 scopus 로고    scopus 로고
    • Classification of power quality events using optimal time-frequency representations - Part 1: Theory
    • Wang Min, Alexander V Mamishev. Classification of power quality events using optimal time-frequency representations - Part 1: Theory [J]. IEEE Trans on Power Delivery, 2004, 19 (3): 1488-1495.
    • (2004) IEEE Trans on Power Delivery , vol.19 , Issue.3 , pp. 1488-1495
    • Wang, M.1    Mamishev, A.V.2
  • 8
    • 3242813754 scopus 로고    scopus 로고
    • Classification of power quality events using optimal time-frequency representations - Part 2: Application
    • Wang Min, Gabriel I Rowe, Alexander V Mamishev. Classification of power quality events using optimal time-frequency representations - Part 2: Application [J]. IEEE Trans on Power Delivery, 2004, 19 (3): 1496-1503.
    • (2004) IEEE Trans on Power Delivery , vol.19 , Issue.3 , pp. 1496-1503
    • Wang, M.1    Rowe, G.I.2    Mamishev, A.V.3
  • 9
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • Vapnik V N. An overview of statistical learning theory [J]. IEEE Trans. on Neural Network, 1999, 10 (5): 988-999.
    • (1999) IEEE Trans. on Neural Network , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 10
    • 26644461936 scopus 로고    scopus 로고
    • Identification method of gas-liquid two-phase flow regime based on support vector machine and wavelet packet energe feature
    • in Chinese
    • Sun Bin, Zhou Yunlong. Identification method of gas-liquid two-phase flow regime based on support vector machine and wavelet packet energe feature [J]. Proceedings of the CSEE, 2005, 25 (17): 93-99 (in Chinese).
    • (2005) Proceedings of the CSEE , vol.25 , Issue.17 , pp. 93-99
    • Sun, B.1    Zhou, Y.2
  • 11
    • 22744446775 scopus 로고    scopus 로고
    • Short-term load forecasting based on wavelet transform and least square support vector machines
    • in Chinese
    • Yang Yanxi, Liu Ding. Short-term load forecasting based on wavelet transform and least square support vector machines [J]. Power System Technology, 2005, 29 (13): 60-64 (in Chinese).
    • (2005) Power System Technology , vol.29 , Issue.13 , pp. 60-64
    • Yang, Y.1    Liu, D.2
  • 12
    • 85009337155 scopus 로고    scopus 로고
    • Chinese source
  • 13
    • 85009329806 scopus 로고    scopus 로고
    • LS-SVMLab1.5 toolbox
    • Suykens J A K, Van Gestel T, De Brabanter J, et al. LS-SVMLab1.5 toolbox [CP/OL]. [2003-02-26]. http://www.esat.kuleuven.ac.be/sista/lssvmlab.
    • (2003)
    • Suykens, J.A.K.1    van Gestel, T.2    de Brabanter, J.3
  • 14
    • 7244257444 scopus 로고    scopus 로고
    • Power qualiry disturbance classification using the inductive inference approach
    • Abdel-Galil T K, Kamel M, Youssef A M, et al. Power qualiry disturbance classification using the inductive inference approach [J]. IEEE Trans on Power Delivery, 2004, 19 (4): 1812-1818.
    • (2004) IEEE Trans on Power Delivery , vol.19 , Issue.4 , pp. 1812-1818
    • Abdel-Galil, T.K.1    Kamel, M.2    Youssef, A.M.3
  • 15
    • 12144261566 scopus 로고    scopus 로고
    • Data prediction with few observations based on optimized least squares support vector machines
    • in Chinese
    • Zhu Jiayuan, Yang Yun, Zhang Hengxi, et al. Data prediction with few observations based on optimized least squares support vector machines [J]. Acta Aaronautica et Astronautica Sinica, 2004, 25 (6): 565-568 (in Chinese).
    • (2004) Acta Aaronautica et Astronautica Sinica , vol.25 , Issue.6 , pp. 565-568
    • Zhu, J.1    Yang, Y.2    Zhang, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.