Pan Chong, Chen Weigen, Yun Yuxin, et al. Fault diagnose of power transformer based on genetic algorithm evolving wavelet neural networks[J]. Automation of Electric Power Systems, 2007, 31(13): 88-92.
[5]
Santoso S, Powers E J, Grady W M.Power quality disturbance identification using wavelet transforms and artificial neural networks[C].Proceedings of IEEE ICHQP Ⅶ, Lasvegas, 1996: 615-618.
Dash P L, Panigrahi B K, Panda G. Power quality analysis using S-transform[J]. IEEE Transactions on Power Delivery, 2003, 18(2): 406-411.
[8]
Chilunkuri M V, Dash P L. Multiresolution S- transform-based fuzzy recognition system for power quality events[J]. IEEE Transactions on Power Delivery, 2004, 19(1): 323-329.
[9]
Yang Honggeng, Liu Shouliang, Xiao Xianyong, et al. S-transform-based expert system for classification of voltage dips[J]. Proceedings of the CSEE, 2007, 27(1): 98-104.
Yan Ronghua, Peng Jinye, Li Yan, et al. Method of face recognition based on singular value decomposition in the wavelet domain[J]. Computer Engineering 2007, 33(4): 212-217.
Gan Junying, Zhang Youwei. A new approach for face recognition based on singular value features and neural networks[J]. Actar Electronic Sinica, 2004, 32(1):170-173.
Lan Haitao, Sima Wenxia, Yao Chenguo, et al. Study on data acquisition of overvoltage online monitoring system of high voltage power grid[J]. High Voltage Engineering, 2007, 33 (3): 79-83.
[19]
Yao Chenguo, Sun Caixin, Mi Yan, et al. An on-line monitoring system for over-voltage of distribution networks[J]. Automation of Electric Power Systems, 2004, 28(9): 74-76.
[20]
Santoso S, Powers E J, Grady W M, et al. Power quality assessment via wavelet transform analysis[J]. IEEE Transactions on Power Delivery, 1996, 11(2): 924-930.
[21]
Wilkinson W A, Cox M D. Discrete wavelet analysis of power system transients[J]. IEEE Transactions on Power Systems, 1996, 11(4): 2038-2044.
Zhan Yong, Cheng Haozhong, Ding Yifeng, et al. S-transform-based classification of power quality disturbance signals by support vector machine[J]. Proceedings of the CSEE, 2005, 25(4): 51-56.
[24]
Stockwell R G, Mansinha L, Lowe R P. Localization of the complex spectrum: the S transform[J].IEEE Transactions on Signal Processing, 1996, 44(4): 998-1001.
[25]
Lee I W C, Dash P L. S-transform-based intelligent system for classification of power quality disturbance signals[J]. IEEE Transactions on Power Delivery, 2003, 50(4): 800-805.
[26]
Dash P L, Panigrahi B K, Sahoo D K, et al. Power quality disturbance data compression, detection, and classification using integrated spline wavelet and S-transform[J]. IEEE Transactions on Power Delivery, 2003, 18(2): 595-600.
Zhang Feng, Liang Jun, Zhang Li, et al. Travel wave signal processing for singularity detection based on singular value decomposition and wavelet transform [J]. Automation of Electric Power Systems, 2008, 32(20): 57-60.
[31]
Liang Lin, Xu Guanghua, Liu Dan, et al. A feature extraction method of rotor faults of induction motor based on continuous wavelet transform and singular decomposition[J]. Proceedings of the CSEE, 2005, 25(19): 111-115.
Hong Ziquan, Yang Jingyu. Human face recognition algorithm based on singular value features and statistical models[J]. Computer Research and Development, 1994, 31(3): 60-65.
Du Lin, Liu Weiming, Wang Youyuan, et al. Data acquisition card with variable sampling speed for monitoring overvoltage based on CPLD[J]. High Voltage Engineering, 2008, 34(8): 1589-1593.
[36]
Tian Y, Tang T, Wang Y H, et al. Do singular value contain adequate information for face recognition[J]. Pattern Recognition, 2003, 36(6): 649-655.