[1] 马鑫, 尚毅梓, 胡昊, 等. 基于数据特征增强和残差收缩网络的变压器故障识别方法[J]. 电力系统自动化, 2022, 46(3): 175-183.
Ma Xin, Shang Yizi, Hu Hao, et al.Identification method of transformer fault based on data feature enhancement and residual shrinkage network[J]. Automation of Electric Power Systems, 2022, 46(3): 175-183.
[2] 周利军, 刘聪, 权圣威, 等. 基于点对称变换的乙丙橡胶电缆终端缺陷诊断[J]. 电工技术学报, 2022, 37(9): 2388-2398.
Zhou Lijun, Liu Cong, Quan Shengwei, et al.Defect diagnosis of EPR cable terminal based on symmetrized dot pattern[J]. Transactions of China Electrotechnical Society, 2022, 37(9): 2388-2398.
[3] Ghosh R, Chatterjee B, Dalai S.A method for the localization of partial discharge sources using partial discharge pulse information from acoustic emissions[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2017, 24(1): 237-245.
[4] 单秉亮, 李舒宁, 杨霄, 等. XLPE 配电电缆缺陷诊断与定位技术面临的关键问题[J]. 电工技术学报,2021, 36(22): 4809-4819.
Shan Bingliang, Li Shuning, Yang Xiao, et al.Key problems faced by defect diagnosis and location technologies for XLPE distribution cables[J]. Transactions of China Electrotechnical Society, 2021, 36(22): 4809-4819.
[5] Deng Rui, He Jing, Yu Jianjun, et al.Increasing data rate of an optical IMDD system using a cost-efficient dual-band transmission scheme based on RTZ DAC and sub-Nyquist sampling ADC[J]. Optics Express, 2018, 26(9): 11599-11607.
[6] 卿晓东, 苏玉刚. 电场耦合无线电能传输技术综述[J]. 电工技术学报, 2021, 36(17): 3649-3663.
Qing Xiaodong, Su Yugang.An overview of electricfiledcoupling wireless power transfer technology[J]. Transactions of China Electrotechnical Society, 2021, 36(17): 3649-3663.
[7] 王佩月, 左志平, 孙跃, 等. 基于双侧LCC 的全双工无线电能传输能量信号并行传输系统[J]. 电工技术学报, 2021, 36(23): 4981-4991.
Wang Peiyue, Zuo Zhiping, Sun Yue, et al.Fullduplex simultaneous wireless power and data transfer system based on double-sided LCC topology[J]. Transactions of China Electrotechnical Society, 2021, 36(23): 4981-4991.
[8] Song Shoupeng, Yu Jiahui, Shen Jingjing.Novel circuit implementation method for pulse signal finite rate of innovation sparse sampling based on an improved exponential reproducing kernel[J]. Circuits, Systems, and Signal Processing, 2019, 38(10): 4683-4699.
[9] Lissner I, Urban P.Toward a unified color space for perception-based image processing[J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 2012, 21(3): 1153-1168.
[10] 于华楠, 武云瑞, 胡绪超. 基于压缩感知的电力设备视频图像去噪方法研究[J]. 电测与仪表, 2016, 53(18): 10-13, 40.
Yu Huanan, Wu Yunrui, Hu Xuchao.The research of power equipment image de-noising algorithm based on compressed sensing[J]. Electrical Measurement & Instrumentation, 2016, 53(18): 10-13, 40.
[11] Shen Zhiyuan, Wang Qianqian.A high-precision spectrum-detection algorithm based on the normalized variance of nonreconstruction compression sensing[J]. Mathematical Problems in Engineering, 2020, 2020: 1-9.
[12] Wu Feiyun, Yang Kunde, Duan Rui, et al.Compressive sampling and reconstruction of acoustic signal in underwater wireless sensor networks[J]. IEEE Sensors Journal, 2018, 18(14): 5876-5884.
[13] Chen F, Chandrakasan A P, Stojanovic V M.Design and analysis of a hardware-efficient compressed sensing architecture for data compression in wireless sensors[J]. IEEE Journal of Solid-State Circuits, 2012, 47(3): 744-756.
[14] Majidi M, Fadali M S, Etezadi-Amoli M, et al.Partial discharge pattern recognition via sparse representation and ANN[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2015, 22(2): 1061-1070.
[15] 谢军, 刘云鹏, 刘磊, 等. 局放信号自适应加权分帧快速稀疏表示去噪方法[J]. 中国电机工程学报,2019, 39(21): 6428-6439.
Xie Jun, Liu Yunpeng, Liu Lei, et al.A partial discharge signal denoising method based on adaptive weighted framing fast sparse representation[J]. Proceedings of the CSEE, 2019, 39(21): 6428-6439.
[16] Donoho D L.Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[17] Mangia M, Pareschi F, Rovatti R, et al.Adapted compressed sensing: a game worth playing[J]. IEEE Circuits and Systems Magazine, 2020, 20(1): 40-60.
[18] Haque T, Yazicigil R T, Pan K J L, et al. Theory and design of a quadrature analog-to-information converter for energy-efficient wideband spectrum sensing[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2015, 62(2): 527-535.
[19] Rani M, Dhok S B, Deshmukh R B.A systematic review of compressive sensing: concepts, implementations and applications[J]. IEEE Access, 2018, 6: 4875-4894.
[20] Kirolos S, Laska J, Wakin M, et al.Analog-toinformation conversion via random demodulation[C]//2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software, Richardson, TX, USA, 2007: 71-74.
[21] Mishali M, Eldar Y C.From theory to practice: subnyquist sampling of sparse wideband analog signals[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 375-391.
[22] Zhao Yijiu, Hu Yu hen, Wang Houjun. Enhanced random equivalent sampling based on compressed sensing[J]. IEEE Transactions on Instrumentation and Measurement, 2012, 61(3): 579-586.
[23] Zhao Yijiu, Hu Yu hen, Liu Jingjing. Random triggering-based sub-nyquist sampling system for sparse multiband signal[J]. IEEE Transactions on Instrumentation and Measurement, 2017, 66(7): 1789-1797.
[24] 崔兴梅, 吴键, 徐云鹏. 基于改进m 序列的压缩采样观测矩阵设计[J]. 振动测试与诊断, 2017, 37(6):1163-1168, 1279.
Cui Xingmei, Wu Jian, Xu Yunpeng.Design of compressed sampling observation matrix based on improved m sequence[J]. Journal of Vibration, Measurement & Diagnosis, 2017, 37(6): 1163-1168, 1279.
[25] 赵仕策, 赵洪山, 寿佩瑶. 智能电力设备关键技术及运维探讨[J]. 电力系统自动化, 2020, 44(20): 1-10.
Zhao Shice, Zhao Hongshan, Shou Peiyao.Discussion on key technology and operation & maintenance of intelligent power equipment[J]. Automation of Electric Power Systems, 2020, 44(20): 1-10.
[26] 李庭, 陈杰, 于泓, 等. 压缩感知理论在IGBT 状态监测中的应用[J]. 电工技术学报, 2022, 37(增刊1):163-171.
Li Ting, Chen Jie, Yu Hong, et al.Application of compressed sensing method in condition monitoring of insulated gate bipolar transistor[J]. Transactions of China Electrotechnical Society, 2022, 37(S1): 163-171.
[27] Candès E, Romberg J.Sparsity and incoherence in compressive sampling[J]. Inverse Problems, 2007, 23(3): 969-985.
[28] Shen Zhi yuan, Cheng Xin miao, Wang Qian qian. A cooperative construction method for the measurement matrix and sensing dictionary used in compression sensing[J].EURASIP Journal on Advances in Signal Processing, 2020, 2020(1): 1-8.
[29] 王刘旺, 朱永利, 贾亚飞, 等. 局部放电大数据的并行PRPD 分析与模式识别[J]. 中国电机工程学报,2016, 36(5): 1236-1244.
Wang Liuwang, Zhu Yongli, Jia Yafei, et al.Parallel phase resolved partial discharge analysis for pattern recognition on massive PD data[J]. Proceedings of the CSEE, 2016, 36(5): 1236-1244. |