唐炬, 周倩, 许中荣, 等. GIS特高频局放信号的数学建模[J]. 中国电机工程学报, 2005, 25(19): 106- 110. Tang Ju, Zhou Qian, Xu Zhongrong, et al. Establishment of mathematical model for partial discharge in GIS using UHF method[J]. Proceedings of the CSEE, 2005, 25(19): 106-110.
[2]
Judd M D, Cleary G P, Bennoch C J. Applying UHF partial discharge detection to power transformers[J]. IEEE Power Engineering Review, 2002, 22(8): 57-59.
[3]
司文荣, 李军浩, 袁鹏, 等. 气体绝缘组合电器多局部放电源的检测与识别[J]. 中国电机工程学报, 2009, 29(16): 119-125. Si Wenrong, Li Junhao, Yuan Peng, et al. Detection and identification techniques for multi-PD sources in GIS[J]. Proceedings of the CSEE, 2009, 29(16): 119-125.
[4]
孙才新, 许高峰, 唐炬, 等. 以盒维数和信息维数为识别特征量的GIS局部放电模式识别方法[J]. 中国电机工程学报, 2005, 25(3): 100-104. Sun Caixin, Xu Gaofeng, Tang Ju, et al. PD pattern recognition method using box dimension and informa- tion dimension as discriminating features in GIS[J]. Proceedings of the CSEE, 2005, 25(3): 100-104.
[5]
段大鹏. 基于UHF方法的GIS局部放电检测与仿生模式识别[D]. 上海交通大学, 2009.[7] Duan Dapeng. GIS partial discharge detection and biomimetic pattern recognition based on UHF method [D]. Shanghai Jiao Tong University, 2009.
[6]
张晓星, 唐炬, 孙才新, 等. 一种基于线性鉴别分析的GIS局部放电模式识别[J]. 重庆大学学报, 2006, 29(10): 1-4. Zhang Xiaoxing, Tang Ju, Sun Caixin, et al. PD pattern recognition based on linear discriminant analysis in GIS[J]. Jounal of Chongqing University, 2006, 29(10): 1-4.
[7]
Gulski E, Kreuger F H. Computer-aided recogni- tion of discharge sources[J]. IEEE Transactions on Electrical Insulation, 1992, 27(1): 82-92.
[8]
Cavallini A,Montanari G C,Contin A,et al.A new approach to the diagnosis of solid insulation systems based on PD signal inference[J]. IEEE Electrical Insulation Magazine, 2003, 19(2): 23-30.
[9]
王彩雄, 唐志国, 常文治, 等. 一种多源局部放电信号分离方法[J]. 中国电机工程学报, 2013, 33(13): 212-219. Wang Caixiong, Tang Zhiguo, Chang Wenzhi, et al. A method for multi-source partial discharge signals separation[J]. Proceedings of the CSEE, 2013, 33(13): 212-219.
[10]
Theodoros Damoulas, Yiming Ying, Mark A. Girolami, et al. Inferring sparse kernel combinations and relevance vectors: An application to subcellular localization of proteins[C]. 2008 Seventh International Conference on Machine Learning and Applications, 2008: 577- 582.
[11]
Leisch F, Jain L C, Hornik K. Cross-validation with active pattern selection for neural network classifiers [J]. IEEE Transaction on Neural Network, 1998, 9(1): 35-41.
[12]
Kennedy J, Eberhart R C, Shi Y. Swarm intelligence [M]. San Francisco: Morgan Kaufmann Publishers, 2001.
[13]
朱永利, 尹金良. 组合核相关向量机在电力变压器故障诊断中的应用研究[J]. 中国电机工程学报, 2013, 33(22): 68-74. Zhu Yongli, Yin Jinliang.Study on application of multi-kernel learning relevance vector machines in fault diagnosis of power transformers[J]. Proceedings of the CSEE, 2013, 33(22): 68-74.
[14]
司文荣, 李军浩, 袁鹏, 等. 基于波形非线性映射的多局部放电脉冲群快速分类[J]. 电工技术学报, 2009, 24(3): 217-228. Si Wenrong, Li Junhao, Yuan Peng, et al. The fast grouping technique of PD sequence based on the nonlinear mapping of pulse shapes[J]. Transactions of China Electrotechnical Society, 2009, 24(3): 217-228.
[15]
李信, 李成榕, 丁立健, 等. 基于特高频信号检测GIS局放模式识别[J]. 高电压技术, 2003, 14(3): 16-20. Li Xin, Li Chengrong, Ding Lijian, et al. Identification of PD patterns in gas insulated swichgear(GIS) based on UHF signals[J]. High Voltage Engineering, 2003, 14(3): 16-20.
[16]
齐波, 李成榕, 骆立实, 等. GIS中局部放电与气体分解产物关系的试验[J]. 高电压技术, 2010, 36(4): 957-963. Qi Bo, Li Chengrong, Luo Lishi, et al. Experiment on the correlation between partial discharge and gas decomposition products in GIS[J]. High Voltage Engineering, 2010, 36(4): 957-963.
[17]
齐波, 李成榕, 郝震, 等. GIS绝缘子表面固定金属颗粒沿面局部放电发展的现象及其特征[J]. 中国电机工程学报, 2011, 34(4): 312-317. Qi Bo, Li Chengrong, Hao Zhen, et al. The surface partial discharge development phenomena and their characterisitics of GIS insulator surface’ fixed metal particals[J]. Proceedings of the CSEE, 2011, 34(4): 312-317.
[18]
Damoulas T, Girolami M A. Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection[J]. Bioinformatics, 2008, 24(10): 1264-1270.
[19]
Kennedy J, Eberhart R C. Particle swarm optimization [C]. Proceedings of the IEEE International Conference on Neural Networks, Perth, WA, Australia, 1995: 1942-1948.