24脉波整流器中故障信号的重构
Reconstruction of Fault Signal in 24 Pulse Recti fier
- 机车电传动 2021年0卷第6期 页码：129-134
- 作者机构：
1.兰州博文科技学院 机电工程学院，甘肃 兰州 730101
- 作者简介：
周宏（1984—），男，讲师，研究方向为轨道交通机车车辆；E-mail：1792073531@qq.com
- 基金信息：
DOI：10.13890/j.issn.1000-128x.2021.06.018
中图分类号：
扫 描 看 全 文
周宏. 24脉波整流器中故障信号的重构[J]. 机车电传动, 2021,0(6):129-134.
Hong ZHOU. Reconstruction of Fault Signal in 24 Pulse Recti fier[J]. Electric Drive for Locomotives, 2021,0(6):129-134.
周宏. 24脉波整流器中故障信号的重构[J]. 机车电传动, 2021,0(6):129-134. DOI： 10.13890/j.issn.1000-128x.2021.06.018.
Hong ZHOU. Reconstruction of Fault Signal in 24 Pulse Recti fier[J]. Electric Drive for Locomotives, 2021,0(6):129-134. DOI： 10.13890/j.issn.1000-128x.2021.06.018.
摘要
24脉波整流器在出现故障时，产生的故障信号数据量大，稀疏度低，无法准确做到故障预警。为此提出一种基于压缩感知理论（CS）的故障信号恢复重构的方法。首先，在MATLAB中搭建24脉波整流器模型，仿真出故障信号；其次，利用冗余字典对原始故障信号进行稀疏表示，并提出一种基于Dice系数相似性匹配准则的分段正交匹配追踪（Dice-StOMP）算法，该重构算法用Dice系数相似性匹配准则来替代内积度量匹配性准则，从而实现对支撑集的优化并恢复出原始信号；最后，在MATLAB中验证模型的有效性与算法的优越性。仿真结果表明，搭建的模型可以正确仿真出故障信号，而且新提出的算法相对于其他恢复算法，具有更高的重构精度与更短的重构时间。
Abstract
When the 24-pulse recti fier has failed, the amount of fault signal generated was large, and the sparsity was low, so the fault warning cannot be accurately performed. A method based on compressed sensing theory (CS) was proposed for fault signal recovery and reconstruction. Firstly, the 24-pulse recti fier model was built in MATLAB to simulate the fault signal. Secondly, the original fault signal was sparsely represented by redundant dictionary, and a piecewise orthogonal matching pursuit (Dice-StOMP)algorithm based on Dice coefficient similarity matching criterion was proposed, which used Dice coefficient similarity matching criterion to replace the inner product metric matching criterion, so as to optimize the support set and recover the original signal.Finally, the validity of the model and the superiority of the algorithm were veri fied in MATLAB. The simulation results show that the built model can correctly simulate the fault signal, and the proposed algorithm has higher reconstruction accuracy and shorter reconstruction time than other recovery algorithms.
关键词
24脉波整流器压缩感知冗余字典Dice-StOMP算法信号重构仿真故障诊断
Keywords
24 pulse recti fiercompression sensingredundant dictionaryDice-StOMP algorithmsignal reconstructionsimulationfault diagnosis
references
闫淑群. 二十四脉波可控整流电路故障在线诊断[D]. 西安: 西安理工大学, 2007.
YAN Shuqun. On-line fault diagnosis of twenty four-wave controlled rectifier[D]. Xi'an: Xi'an University of Technology, 2007.
成庶, 李蔚, 陈特放, 等. 整流器主电路开路故障诊断及容错控制研究[J]. 电工技术学报, 2016, 31(13): 26-35.
CHENG Shu, LI Wei, CHEN Tefang, et al. Research on open-circuit fault diagnosis and fault-tolerant control scheme for recti fier main circuits[J]. Transactions of China Electrotechnical Society, 2016, 31(13): 26-35.
梁金平, 董唯光, 毛向德. 变流器故障特征提取与维数约简方法研究[J]. 计算机工程, 2015, 41(12): 280-287.
LIANG Jinping, DONG Weiguang, MAO Xiangde. Study on fault feature extraction and dimension reduction method of converter[J]. Computer Engineering, 2015, 41(12): 280-287.
王美, 谭阳红, 何怡刚, 等. 永磁直驱风电系统变流器开路故障诊断新方法[J]. 太阳能学报, 2017, 38(12): 3392-3398.
WANG Mei, TAN Yanghong, HE Yigang, et al. Novel diagnostic method for open-circuit fault of converter in permanent magnet direct drive wind turbine system[J]. Acta Energiae Solaris Sinica, 2017, 38(12): 3392-3398.
李浩, 王福忠, 王锐. 小波包特征熵在级联式变频器故障诊断中的应用[J]. 测控技术, 2017, 36(6): 20-23.
LI Hao, WANG Fuzhong, WANG Rui. Fault diagnosis for cascaded converter with characteristic entropy of wavelet packet[J]. Measurement & Control Technology, 2017, 36(6): 20-23.
韦徵, 陈轶涵, 龚春英, 等. 三相六开关VIENNA整流器功率开关开路故障诊断[J]. 南京航空航天大学学报, 2014, 46(1): 121-128.
WEI Zheng, CHEN Yihan, GONG Chunying, et al. Fault diagnostic system for three-phase six-switch VIENNA rectifier open-circuit[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2014, 46(1): 121-128.
DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
CANDES E J, WAKIN M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.
张晓东, 董唯光, 郭俊锋, 等. 基于αβ变换的压缩感知风电变流器电压信号压缩方法[J]. 广西大学学报(自然科学版), 2016, 41(6): 1855-1862.
ZHANG Xiaodong, DONG Weiguang, GUO Junfeng, et al. Wind power converter voltage signal compression method of compressed sensing based on αβ transform[J]. Journal of Guangxi University(Natural Science Edition), 2016, 41(6): 1855-1862.
王学伟, 王琳, 苗桂君, 等. 暂态和短时电能质量扰动信号压缩采样与重构方法[J]. 电网技术, 2012, 36(3): 191-196.
WANG Xuewei, WANG Lin, MIAO Guijun, et al. An approach for compressive sampling and reconstruction of transient and short-time power quality disturbance signals[J]. Power System Technology, 2012, 36(3): 191-196.
陈雷, 郑德忠, 廖文喆. 基于压缩感知的含扰动电能质量信号压缩重构方法[J]. 电工技术学报, 2016, 31(8): 163-171.
CHEN Lei, ZHENG Dezhong, LIAO Wenzhe. Method based on compressed sensing for compression and reconstruction of power quality signals with disturbances[J]. Transactions of China Electrotechnical Society, 2016, 31(8): 163-171.
张若愚, 赵洪林. 一种改进的稀疏度估计变步长匹配追踪算法[J]. 东南大学学报(英文版), 2016, 32(2): 164-169.
ZHANG Ruoyu, ZHAO Honglin. An improved sparsity estimation variable step-size matching pursuit algorithm[J]. Journal of Southeast University(English Edition), 2016, 32(2): 164-169.
董唯光, 张晓东, 汤旻安, 等. 基于ITD与改进内积的压缩感知风电变流器电压信号重建方法[J]. 高电压技术, 2018, 44(7): 2338-2345.
DONG Weiguang, ZHANG Xiaodong, TANG Min'an, et al. Voltage signal reconstruction method of wind power converter based on ITD and improved inner product compressed sensing[J]. High Voltage Engineering, 2018, 44(7): 2338-2345.
王欣, 李树军, 秦斌. 单相电力电子变压器整流级滑模控制策略[J]. 机车电传动, 2018(6): 46-49.
WANG Xin, LI Shujun, QIN Bin. Sliding mode control strategy of single-phase power electronic transformer rectification stage[J]. Electric Drive for Locomotives, 2018(6): 46-49.
WANG J, KWON S, LI P, et al. Recovery of sparse signals via generalized orthogonal matching pursuit: a new analysis[J]. IEEE Transactions on Signal Processing, 2016, 64(4): 1076-1089.
王娜, 宋文胜, 冯晓云. 基于载波移相控制的脉冲整流器直流侧支撑电容电压谐波抑制研究[J]. 机车电传动, 2012(2): 34-39.
WANG Na, SONG Wensheng, FENG Xiaoyun. Research on DC-Link capacitor voltage harmonics reduction of PWM recti fier based on carrier phase-shifting[J]. Electric Drive for Locomotives, 2012(2): 34-39.
ARIANANDA D D, JAMALI-RAD H, TANG Z J, et al. Deterministic Fourier-based dictionary design for sparse reconstruction[C]//IEEE. 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop(SAM). Rio de Janeiro: IEEE, 2016: 1-5.
BECK A, ELDAR Y C. Sparse signal recovery from nonlinear measurements[C]//IEEE. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC: IEEE, 2013: 5464-5468.
唐华, 张明磊, 杨超. 基于压缩感知的电力系统故障选线研究[J]. 测控技术, 2018, 37(6): 72-75.
TANG Hua, ZHANG Minglei, YANG Chao. Research on power system faulty line selection based on compressed sensing[J]. Measurement & Control Technology, 2018, 37(6): 72-75.
刘国海, 吴翃轩, 沈跃. 正则化自适应匹配追踪电能质量数据重构方法[J]. 仪器仪表学报, 2015, 36(8): 1838-1844.
LIU Guohai, WU Hongxuan, SHEN Yue. Novel reconstruction method of power quality data based on regularized adaptive matching pursuit algorithm[J]. Chinese Journal of Scienti fic Instrument, 2015, 36(8): 1838-1844.
0
浏览量
12
下载量
0
CSCD
1
CNKI被引量
- 网络PDF下载
- Meta-XML下载
- BibTeX下载
- Endnote下载
- RefMan 下载
- NoteExpress下载
- NoteFirst下载
关联资源
相关文章
相关作者
相关机构
- 技术支持由北京北大方正电子有限公司提供 湘ICP备20010475号-1
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies