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Volumn 37, Issue 21, 2009, Pages 86-89

Power quality detection and simulation using S-transform

Author keywords

Disturbances detect; LabVIEW7.0 simulation; Momentary state; Power quality; S transform

Indexed keywords

CLASSIFICATION SYSTEM; LABVIEW7.0 SIMULATION; MATRIX; POWER QUALITY DISTURBANCES; S TRANSFORMS;

EID: 70749139279     PISSN: 16743415     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (10)
  • 1
    • 4544316127 scopus 로고    scopus 로고
    • Analysis of short-term power system disturbance based-on modulo maximum principle and energy distribution curve of wavelet transform
    • Yan Jü-Bin, Liu Xiao-Chuan, Yang Hong-Geng, et al. Analysis of short-term power system disturbance based-on modulo maximum principle and energy distribution curve of wavelet transform[J]. Power System Technology, 2002, 26(4): 16-18.
    • (2002) Power System Technology , vol.26 , Issue.4 , pp. 16-18
    • Yan, J.-B.1    Liu, X.-C.2    Yang, H.-G.3
  • 2
    • 33646150433 scopus 로고    scopus 로고
    • Power Quality disturbance detection and location based on mathematical morphology and grille fractal
    • Li Geng-Yin, Luo Yan, et al. Power Quality disturbance detection and location based on mathematical morphology and grille fractal[J]. Proceedings of the CSEE, 2006, 26(3): 25-30.
    • (2006) Proceedings of the CSEE , vol.26 , Issue.3 , pp. 25-30
    • Li, G.-Y.1    Luo, Y.2
  • 3
    • 2542476415 scopus 로고    scopus 로고
    • Detection, localization and identification of power quality disturbance based on instantaneous reactive power theory
    • Wei Lei, Zhang Fu-Sheng, Geng Zhong-Xing, et al. Detection, Localization and identification of power quality disturbance based on instantaneous reactive power theory [J]. Power System Technology, 2004, 28(6):53-58.
    • (2004) Power System Technology , vol.28 , Issue.6 , pp. 53-58
    • Wei, L.1    Zhang, F.-S.2    Geng, Z.-X.3
  • 6
    • 0037397903 scopus 로고    scopus 로고
    • Power quality disturbance data compression, detection and classification using integrated so line wavelet and s-transform
    • Dash P K, Panigrahi B K, Sahoo D K, et al. Power quality disturbance data compression, detection and classification using integrated so line wavelet and s-transform[J]. IEEE Trans on Power Delivery, 2003, 18(2):595-600.
    • (2003) IEEE Trans on Power Delivery , vol.18 , Issue.2 , pp. 595-600
    • Dash, P.K.1    Panigrahi, B.K.2    Sahoo, D.K.3
  • 7
    • 0041524054 scopus 로고    scopus 로고
    • S-transform-based intelligent system for classification of power quality disturbance signals
    • Lee I W C, Dash P K. S-transform-based intelligent system for classification of power quality disturbance signals[J]. IEEE Trans on Industrial Electronics, 2003, 50(4): 800-805.
    • (2003) IEEE Trans on Industrial Electronics , vol.50 , Issue.4 , pp. 800-805
    • Lee, I.W.C.1    Dash, P.K.2
  • 8
    • 70749144228 scopus 로고    scopus 로고
    • Detection and classification of short duration power quality disturbances based on time-frequency contour and amplitude envelope of S transform
    • Liu Shou-Liang, Xiao Xian-Yong, Yang Hong-Geng. Detection and classification of short duration power quality disturbances based on time-frequency contour and amplitude envelope of S transform[J]. Relay, 2005, 33(22): 49-52.
    • (2005) Relay , vol.33 , Issue.22 , pp. 49-52
    • Liu, S.-L.1    Xiao, X.-Y.2    Yang, H.-G.3
  • 9
    • 16644397169 scopus 로고    scopus 로고
    • S-transform-based classification of power quality disturbance signals by support vector machines
    • Zhan Yong, Cheng Hao-Zhong, Ding Yi-Feng, 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.
    • (2005) Proceedings of the CSEE , vol.25 , Issue.4 , pp. 51-56
    • Zhan, Y.1    Cheng, H.-Z.2    Ding, Y.-F.3
  • 10
    • 70749088001 scopus 로고    scopus 로고
    • Auto recognition of transient power quality disturbances based on wavelet and neural network
    • Liu Xiao-Fang, Liu Hui-Jin, Ke Ding-Fang. Auto recognition of transient power quality disturbances based on wavelet and neural network[J]. Relay, 2005, 33(23): 46-50.
    • (2005) Relay , vol.33 , Issue.23 , pp. 46-50
    • Liu, X.-F.1    Liu, H.-J.2    Ke, D.-F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.