Application of S Transform for Time-Frequency Analysis of Partial Discharge Signals in Power Cables
Guo Canxin1, Yong Ming2, Xu Minhua3, Li Qing4, Yao Linpeng1, Qian Yong1, Huang Chengjun1, Jiang Xiuchen1
1. Shanghai Jiaotong University Shanghai 200240 China 2. Wuxi Power Supply Company Wuxi 214061 China 3. Shanghai Extra High Voltage Power Transmission Company Shanghai 200063 China 4. Henan Electric Power Research Institute Zhengzhou 450052 China
Abstract:For partial discharge detection in power cables, a new-type S transform time-frequency analysis method is introduced to distinguish the partial discharge signals from field noise. Partial discharge signal is a typical non-stationary signal, and its characteristics can not be clearly expressed only by time-domain or frequency-domain information. S transform is a combination and extension of continuous wavelet transform and short time Fourier transform (STFT). The S transform method employs a Gauss window, whose amplitude and width change with frequency. S transform achieves better time resolution in high frequency proportion, and better frequency resolution in low frequency proportion. Compared with traditional time-frequency representation like STFT and Gabor transform, the S transform is used to analyze the simulation and on-site detection signals from power cables earthing strap. The results show that S transform is effective in extracting partial discharge characteristic information.
[1] 郭灿新, 张丽, 钱勇, 等. XLPE电力电缆中局部放电检测及定位技术的研究现状[J]. 高压电器, 2009, 45(3): 56-60. [2] Gulski E, Cichecki P, Wester F, et al. On-site testing and PD diagnosis of high voltage power cables[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2008, 15(6): 1691-1700. [3] Montanari G C. Partial discharge measurements: becoming a fundamental tool for quality control and risk assessment of electrical systems[C]. IEEE Int. Symp. on Electrical Insulation, Toronto, Canada, 2006: 281-285. [4] Sun Y, Stewart B G, Kemp I J. Time-frequency analysis of RF partial discharge signals using wavelet transforms[C]. 39th Int. Universities Power Engineering Conference, Bristol, UK, 2004: 154-159. [5] 王猛, 谈克雄, 高文胜, 等. 局部放电脉冲波形的时频联合分析特征提取方法[J]. 电工技术学报, 2002, 17(2): 76-79. [6] 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. [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, 141. [8] Pinnegar C R, Mansinha L. Time-local Fourier analysis with a scalable, phase-modulated analyzing function: the S-transform with a complex window [J]. Signal Processing, 2004, 84(7): 1167-1176. [9] Pinnegar C R. Time-frequency and time-time filtering with the S-transform and TT-transform[J]. Digital Signal Processing, 2005, 15(6): 604-620. [10] Dash P K, Samantaray S R, Panda G. Fault analysis of advanced series compensated line using S-transform and pattern recognition approach[C]. The 7th Int. Power Engineering Conf., Singapore, 2005: 1-6. [11] Stockwell R G, Mansinha L, Lowe R P. Localization of the complex spectrum: the S transform[J]. IEEE Trans. on Signal Processing, 1996, 44(4): 998-1001. [12] Stockwell R G. A basis for efficient representation of the S-transform[J]. Digital Signal Processing, 2007, 17(1): 371-393. [13] 肖燕, 郁惟镛. 用于提取局放脉冲的波形匹配识别方法初探[J]. 电工技术学报, 2005, 20(5): 87-91.