基于RD-MUSIC算法的局放超声阵列检测方法仿真研究  被引量:8

Simulation Study on Detection Method of Partial Discharge Ultrasonic Array Based on RD-MUSIC Algorithm

在线阅读下载全文

作  者:谢庆[1] 张建涛 陈艺丹 刘怡[1] 张莹[1] 律方成[1] XIE Qing;ZHANG Jiantao;CHEN Yidan;LIU Yi;ZHANG Ying;LYU Fangcheng(Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense,North China Electric Power University,Hebei Baoding 071003,China;State Grid Wuhan Power Supply Company Wuhan Distribution and Inspection Office,Wuhan 430000,China)

机构地区:[1]华北电力大学河北省输变电设备安全防御重点实验室,河北保定071003 [2]国网武汉供电公司武昌配电运检室,武汉430000

出  处:《高压电器》2019年第12期1-6,共6页High Voltage Apparatus

基  金:国家自然科学基金项目(51307060);中央高校基本科研业务费专项资金资(2016ZZD07,2016XS94)~~

摘  要:超声阵列检测是一种可靠性较高的局部放电定位方法,而目前对局放超声阵列信号的波达方向研究尚不成熟。基于此,文中提出了一种基于多重信号分类降维(RD-MUSIC)算法的局放超声阵列信号波达方向(DOA)估计方法。首先,将局放超声阵列信号波达方向(方位角和俯仰角)的谱峰空间采用二维并行搜索方式;其次,基于RD-MUSIC算法将局放源分解为方位角和俯仰角的一维顺序搜索方式,将阵列输出信号的协方差矩阵进行处理,进而提高了该一维DOA估计方法对局放源的分辨性能;最后,将RD-MUSIC算法与多重信号分类(MUSIC)算法作仿真对比,结果表明,RD-MUSIC算法测向性能好,运算速度快,其测向误差小于MUSIC算法,进一步提高了定位的准确度。Ultrasonic array is a reliable method for partial discharge location detection.However,the research on the direction of arrival of ultrasonic array signals is still not mature at present.So,a new method of direction of arrival(DOA) estimation based on the reduced dimension MUSIC(RD-MUSIC) algorithm is proposed.Firstly,the spectral peak space of PD ultrasonic array signal is searched,which is based on the two-dimensional parallel search mode.Then,the PD array signal is decomposed into one-dimensional sequential search based on the reduced dimension MUSIC algorithm.the output covariance matrix of array signal is processed,the resolution performance of the one-dimensional DOA estimation method for multi-point source is improved.Lastly,compared with RD-MUSIC and MUSIC,it shows RD-MUSIC algorithm has good performance,fast calculation speed,the direction finding error is less than MUSIC algorithm,further improve the positioning accuracy.

关 键 词:局部放电 超声阵列传感器 RD-MUSIC算法 测向定位 

分 类 号:TN9[电子电信—信息与通信工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象