钱勇, 黄成军, 江秀臣, 等. 基于超高频法的GIS局部放电在线监测研究现状及展望[J]. 电网技术, 2005, 29(1): 40-43. Qian Yong, Huang Chengjun, Jiang Xiuchen, et al. Present situation and prospect of ultrahigh frequency method based research of on-line monitoring of partial discharge in gas insulated switchgear[J]. Power System Technology, 2005, 29(1): 40-43.
[2]
王辉, 郑文栋, 黄成军, 等. GK模糊分类算法在GIS局部放电模式识别中的应用[J]. 电力系统保护与控制, 2011, 39(17): 50-54. Wang Hui, Zheng Wendong, Huang Chengjun, et al. Application of Gustafson-Kessel fuzzy classification algorithm in the pattern recognition of partial discharge for GIS[J]. Power System Protection and Control, 2011, 39(17): 50-54.
[3]
Alcaraz R, Rieta J J. A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms[J]. Biomedical Signal Processing and Control, 2010, 5(1): 1-14.
[4]
Pincus S M. Assessing serial irregularity and its implications for health[J]. Annals of the New York Academy of Sciences, 2001, 954(1): 245-267.
[5]
张晓星, 唐炬, 孙才新, 等. 基于核统计不相关最优鉴别矢量集的GIS局部放电模式识别[J]. 电工技术学报, 2008, 23(9): 111-117. Zhang Xiaoxing, Tang Ju, Sun Caixin, et al. PD pattern recognition based on kernel statistical uncorrelated optimum discriminant vectors in GIS[J]. Transactions of China Electrotechnical Society, 2008, 23(9): 111- 117.
[6]
唐炬, 欧阳有鹏, 王存超, 等. 模拟气体绝缘组合电器产生不同局部放电的试验装置研制[J]. 重庆大学学报, 2010, 33(11): 39-45. Tang Ju, Ouyang Youpeng, Wang Cunchao, et al. Study on the testing device for simulating the partial discharges of different defects in gas insulated switch- gear[J]. Chinese Journal of Chongqing University, 2010, 33(11): 39-45.
[7]
张晓星, 唐炬, 彭文雄, 等. GIS局部放电检测的微带贴片天线研究[J]. 仪器仪表学报, 2006, 27(12): 1595-1599. Zhang Xiaoxing, Tang Ju, Peng Wenxiong, et al. Study on the outer UHF microstrip patch antenna for partial discharge detection in GIS[J]. Chinese Journal of Scientific Instrument, 2006, 27(12): 1595-1599.
[8]
Vapnik V N. 统计学习理论的本质[M]. 张学工, 译北京: 清华大学出版社, 2000.
[9]
Hsu C W, Lin C J. A comparison of methods for multi- class support vector machines[J]. IEEE Transactions on Neural Networks, 2002, 13(2): 415-425.
[10]
姚林鹏, 徐颖敏, 钱勇, 等. 基于关联规则的XLPE电缆局部放电模糊识别研究[J]. 电工技术学报, 2012, 27(5):92-98. Yao Linpeng, Xu Yingmin, Qian Yong, et al. Fuzzy pattern recognition of partial discharge in XLPE cable based on association rule[J]. Transactions of China Electrotechnical Society, 2012, 27(5): 92-98.
[11]
姚林鹏, 王辉, 钱勇, 等. 基于半监督学习的XLPE电缆局部放电模式识别研究[J]. 电力系统保护与控制, 2011, 39(14): 40-46. Yao Linpeng, Wang Hui, Qian Yong, et al. Pattern recognition of partial discharge in XLPE cable based on semi supervised learning[J]. Power System Protection and Control, 2011, 39(14): 40-46.
[12]
张晓星, 唐炬, 孙才新, 等. 基于多重分形维数的GIS局部放电模式识别[J]. 仪器仪表学报, 2007, 28(4): 597-602. Zhang Xiaoxing, Tang Ju, Sun Caixin, et al. PD pattern recognition based on multi-fractal dimensions in GIS[J]. Chinese Journal of Scientific Instrument, 2007, 28(4): 597-602.
[13]
任先文, 薛雷, 宋阳, 等. 基于分形特征的最小二乘支持向量机局部放电模式识别[J]. 电力系统保护与控制, 2011, 39(14): 143-147. Ren Xianwen, Xue Lei, Song Yang, et al. The pattern recognition of partial discharge based on fractal characteristics using LS-SVM[J]. Power System Protection and Control, 2011, 39(14): 143-147.
[14]
唐炬, 魏刚, 李伟, 等. 基于双向二维最大间距准则的局部放电灰度图像特征提取[J]. 电网技术, 2011, 35(3): 129-134. Tang Ju, Wei Gang, Li Wei, et al. Partial discharge gray image feature extraction based on Bi-directional Two-Dimensional maximum margin criterion[J]. Power System Technology, 2011, 35(3): 129-134.
[15]
刘云鹏, 律方成, 李成榕. 局部放电灰度图像数学形态谱的研究[J]. 中国电机工程学报, 2004, 24(5): 179-183. Liu Yunpeng, Lü Fangcheng, Li Chengrong. Study on pattern spectrum of partial discharge grayscale image [J]. Proceedings of the CSEE, 2004, 24(5): 179-183.
[16]
Chang C, Chang C S, Jin J, et al. Source classification of partial discharge for gas insulated substation using waveshape pattern recognition[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2005, 12(2): 374-386.
[17]
李剑, 王小维, 金卓睿, 等. 变压器局部放电超高频信号多尺度网格维数的提取与识别[J]. 电网技术, 2010, 34(2): 159-163. Li Jian, Wang Xiaowei, Jin Zhuorui, et al. Multi-scale grid dimension extraction and recognition of ultra-high frequency signals of transformer partial discharge[J]. Power System Technology, 2010, 34(2): 159-163.
[18]
唐炬, 谢颜斌, 周倩, 等. 基于最优小波包变换与核主分量分析的局部放电信号特征提取[J]. 电工技术学报, 2010, 25(9): 35-40. Tang Ju, Xie Yanbin, Zhou Qian, et al. Feature extraction for partial discharge signals based on the optimal wavelet packet basis transform and kernel principal component analysis[J]. Transactions of China Electrotechnical Society, 2010, 25(9): 35-40.
[19]
李辉, 丁桦. 一种抗混叠和失真的小波包信号分解与重构算法[J]. 科学技术与工程, 2008, 8(20): 5580-5588. Li Hui, Ding Hua. Anti-aliasing and anti-distortion algorithm for signal decomposition and reconstruction based on wavelet package analysis[J]. Science Tech- nology and Engineering, 2008, 8(20): 5580-5588.
[20]
Wang G, Yan Z, Hu X, et al. Classification of surface EMG signals using harmonic wavelet packet transform [J]. Physiological measurement, 2006, 27(12): 1255- 1267.
[21]
Yan R, Gao R X. An efficient approach to machine health diagnosis based on harmonic wavelet packet transform[J]. Robotics and Computer-Integrated Manu- facturing, 2005, 21(4): 291-301.
[22]
Newland D E. Harmonic wavelet analysis[J]. Procee- dings of the Royal Society of London. 1993, 443(10): 203-205.
[23]
Newland D E. Harmonic and musical wavelets[J]. Proceedings of the Royal Society of London. 1994, 443(10): 605-620.
[24]
王炳成, 任朝晖, 闻邦椿. 基于非线性多参数的旋转机械故障诊断方法[J]. 机械工程学报, 2012, 48(5): 63-69. Wang Bingcheng, Ren Chaohui, Wen Bangchun. Fault diagnoses method of rotating machines based on nonlinear multi-parameters[J]. Journal of Mechanical Engineering, 2012, 48(5): 63-69.
[25]
陈继开, 周志宇, 李浩昱, 等. 快速小波熵输电系统暂态信号特征提取研究[J]. 电工技术学报, 2012, 27(12): 219-225. Chen Jikai, Zhou Zhiyu, Li Haoyu, et al. Study of fast wavelet entropy’s application in feature extraction of transient signals in transmission line[J]. Transactions of China Electrotechnical Society, 2012, 27(12): 219- 225.
[26]
Richman J S, Moorman J R. Physiological time-series analysis using approximate entropy and sample entropy [J]. American Journal of Physiology-Heart and Circulatory Physiology, 2000, 278(6): H2039-H2049.
[27]
Al-Angari H M, Sahakian A V. Use of sample entropy approach to study heart rate variability in obstructive sleep apnea syndrome[J]. IEEE Transactions on Biomedical Engineering, 2007, 54(10): 1900-1904.