[1] |
杨丽君, 孙才新, 廖瑞金, 等. 采用等效时频分析及模糊聚类法识别混合局部放电源[J]. 高电压技术, 2010, 36(7): 1710-1717.Yang Lijun, Sun Caixin, Liao Ruijin, et al. Application of Equivalent Time-frequency Analysis and Fuzzy Clustering to Recognize Multiple PD Sources[J]. High Voltage Engineering, 2010, 36(07): 1710-1717.
|
[2] |
禹建丽, 卞帅. 基于BP神经网络的变压器故障诊断模型[J]. 系统仿真学报, 2014, 26(6): 1343-1349.Yu Jianli, Bian Shuai. Fault Diagnosis Model of Transformer Based on BP Neural Network[J]. Journal of System Simulation, 2014, 26(6): 1343-1349.
|
[3] |
鲍永胜. 局部放电脉冲波形特征提取及分类技术[J]. 中国电机工程学报, 2013, 33(28): 168-175.Bao Yongsheng. Partial Discharge Pulse Waveform Feature Extraction and Classification Techniques[J]. Proceedings of the CSEE, 2013, 33(28): 168-175.
|
[4] |
尚海昆. 电力变压器局部放电信号的特征提取与模式识别方法研究[D]. 保定: 华北电力大学, 2014: 9-10.
|
[5] |
孙云岭, 朴甲哲, 张永祥. Wigner-Ville时频分布在内燃机故障诊断中的应用[J]. 中国机械工程, 2004, 15(6): 37-39.Sun Yunling, Pu Jiazhe, Zhang Yongxiang. Applications of Wigner-Ville Time-frequency Distribution in Internal Combustion Engine (ICE) Fault Diagnosiss[J]. China Mechanical Engineering, 2004, 15(6): 37-39.
|
[6] |
Wenjie L, Jiankang Z, Shaoxin M.Partial Discharge Time-frequency Spectrum Analysis and Extraction for Power Cable[C]//Asia-pacific Power & Energy Engineering Conference. Shanghai, China: IEEE, 2012: 1-3.
|
[7] |
薛雪东, 程旭德, 徐兵, 等. 基于STFT的高压电气设备局放信号时频分析[J]. 高电压技术, 2008, 34(1): 70-72.Xue Xuedong, Cheng Xude, Xu Bing, et al. Time - frequency Analysis of Partial Discharge Signals of High -voltage Electrical Devices by STFT[J]. H igh Voltage Engineering, 2008, 34(1): 70-72.
|
[8] |
刘卫东, 刘尚合, 王雷. 采用Gabor变换的局部放电信号时频分析[J]. 高电压技术, 2007, 33(8): 40-43.Liu Weidong, Liu Shanghe, Wang Lei. Time-frequency Analysis of Partial Discharge Signal by Gabor Transform [J]. High Voltage Engineering, 2007, 33(8): 40-43.
|
[9] |
Peng Z K, Chu F L.Application of the Wavelet Transform in Machine Condition Monitoring and Fault Giagnostics: a Review with Bibliography[J]. Mechanical Systems and Signal Processing (S0888-3270), 2004, 18(2): 199-221.
|
[10] |
袁鹏, 司文荣, 李军浩, 等. 局部放电脉冲的Wigner时频分布特性研究[J]. 高压电器. 2008, 44(6): 524-526.Yuan Peng, Si Wenrong, Li Junhao, et al. Time- frequency Characteristics of Partial Discharge Pulse with Wigner-ville Distributions[J]. High Voltage Apparatus, 2008, 44(6): 524-526.
|
[11] |
王忠仁, 林君, 李文伟. 基于Wigner-Ville分布的复杂时变信号的时频分析[J]. 电子学报, 2005, 33(12): 2239-2241.Wang Zhongren, Lin Jun, Li Wenwei. Time-Frequency Analysis for Complex Time2Varying Signals Based on Wigner-Ville Distribution[J]. ACTA ELECTRONICA SINICA, 2005, 33(12): 2239-2241.
|
[12] |
郭灿新, 勇明, 徐敏骅, 等. S变换在电力电缆局部放电信号时频分析中的应用[J]. 电工技术学报, 2010, 25(11): 9-14.Guo Canxin, Yong Ming, Xu Minhua, et al. Application of S Transform for Time-Frequency Analysis of Partial Discharge Signals in Power Cables[J]. TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY, 2010, 25(11): 9-14.
|
[13] |
汪可, 廖瑞金, 王季宇, 等. 局部放电UHF脉冲的时频特征提取与聚类分析[J]. 电工技术学报, 2015, 30(2): 211-219.Wang Ke, Liao Ruijin, Wang Jiyu, et al. Time- Frequency Features Extraction and Clustering Analysis of Partial Discharge UHF Pulses[J]. TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY, 30(2): 211-219.
|
[14] |
Zhong R, Ming D, Ming R, et al.The Study of Partial Discharge in GIS under Impulse Voltage Based on Time-frequency Analysis[C]// Condition Monitoring and Diagnosis (CMD), 2012 International Conference on. Bali, Indonesia: IEEE, 2012: 694-697.
|
[15] |
程发斌, 汤宝平, 刘文艺. 一种抑制维格纳分布交叉项的方法及在故障诊断中应用[J]. 中国机械工程, 2008, 19(14): 1727-1731.Cheng Fabin, Tang Baoping, Liu Wenyi. A Method to Suppress Cross - terms of Wigner - Ville Distribution and Its Application in Fault Diagnosis[J]. China Mechanical Engineering, 2008, 19(14): 1727-1731.
|
[16] |
吕金飞, 袁嗣杰, 范少龙, 等. 基于时频分析的高动态多目标识别与仿真[J]. 系统仿真学报, 2007, 19(20): 4840-4843.Lv Jinfei, Yuan Sijie, Fan Shaolong, et al. High Dynamic Multi-objective Detection and Simulation Based on Time-frequency Analysis[J]. Journal of System Simulation, 2007, 19(20): 4840-4843.
|
[17] |
蔡艳平, 李艾华, 王涛, 等. 基于EMD-Wigner-Ville的内燃机振动时频分析[J]. 振动工程学报, 2010, 23(4): 430-437.Cai Yanping, Li Aihua, Wang Tao, et al. I.C. engine vibration time-frequency analysis based on EMD- Wigner-Ville[J]. JOURNAL OF VIBRATION ENGINEERING, 2010, 23(4): 430-437.
|
[18] |
何星, 王宏力, 姜伟, 等. 改进的自适应EEMD方法及其应用[J]. 系统仿真学报, 2014, 26(4): 869-873.He Xing, Wang Hongli, Jiang Wei, et al. Improved Adaptive EEMD Method and Its Application[J]. Journal of System Simulation, 2014, 26(4): 869-873.
|
[19] |
刘霖雯, 刘超, 江成顺. EMD新算法及其应用[J]. 系统仿真学报, 2007, 19(2): 446-447.Liu Linwen, Liu Chao, Jiang Chengshun. Novel EMD Algorithm and Its Application[J]. Journal of System Simulation, 2007, 19(2): 446-447.
|
[20] |
Dragomiretskiy K, Zosso D.Variational Mode Decomposition[J]. IEEE Transactions on Signal Processing (S1053-587X), 2014, 62(3): 531-544.
|
[21] |
刘长良, 武英杰, 甄成刚. 基于变分模态分解和模糊 C均值聚类的滚动轴承故障诊断[J]. 中国电机工程学报, 2015, 35(13): 1-8.Liu Zhangliang, Wu Yingjie, Zhen Chenggang. Rolling Bearing Fault Diagnosis Based on Variational Mode Decomposition and Fuzzy C Means Clustering[J]. Proceedings of the CSEE, 2015, 35(13): 1-8.
|
[22] |
Mohanty S, Gupta K K, Raju K S.Comparative Study between VMD and EMD in Bearing Fault Diagnosis[C]// 2014 9th International Conference on Industrial and Information Systems (ICIIS). Gwalior: IEEE, 2014: 1-6.
|
[23] |
Viswanath A, Jose K J, Krishnan N, et al.Spike Detection of Disturbed Power Signal Using VMD[J]. Procedia Computer Science (S1877-0509), 2015, 46: 1087-1094.
|
[24] |
Aneesh C, Kumar S, Hisham P M, et al.Performance Comparison of Variational Mode Decomposition over Empirical Wavelet Transform for the Classification of Power Quality Disturbances Using Support Vector Machine[J]. Procedia Computer Science (S1877-0509). 2015, 46: 372-380.
|
[25] |
胡思, 黄琦, 井实, 等. 基于EMD的WVD分布方法在电力系统低频振荡监测中的应用[J]. 电测与仪表. 2012, 49(557): 65-70.Hu Si, Huang Qi, Jing Shi, et al. Wigner-Ville Distribution Based on EMD Analysis of Power System Low-frequency Monitoring and Its Apllocation[J]. Electrical Measurement & Instrumrntation, 2012, 49(557): 65-70.
|