基于改进声学成像算法的局部放电定位检测技术研究  

Research on Partial Discharge Location Detection Technology Based on Improved Acoustic Imaging Algorithm

在线阅读下载全文

作  者:李刚毅 LI Gangyi(Guangxi Branch,China Aluminum Corporation,Baise 531400,China)

机构地区:[1]中国铝业股份有限公司广西分公司,广西百色531400

出  处:《电器与能效管理技术》2024年第12期21-25,56,共6页Electrical & Energy Management Technology

摘  要:基于声学成像原理,通过麦克风阵列检测电力设备局部放电时产生的声波信号,采用声学成像算法,实现对局部放电声源的定位,达到局部放电定位检测的目的。在比较分析多种声学成像算法的基础上,建立一种适用于局部放电定位的基于正交匹配追踪反卷积声源识别(OMP-DAMAS)改进声学成像算法。开关柜局部放电定位检测实验验证表明,OMP-DAMAS算法在保持高精度定位的同时,还显著缩短算法的计算时间,适合用于电力设备的局部放电定位检测。Based on the principle of acoustic imaging,the acoustic signal generated by the partial discharge of power equipment is measured by the microphone array.The acoustic imaging algorithm is used to locate the sound source of partial discharge and achieve the purpose of partial discharge location detection.On the basis of the comparison and analysis of several acoustic imaging algorithms,an improved acoustic imaging algorithm based on the orthogonal matching pursuit deconvolution approach for the mapping of acoustic sources(OMP-DAMAS)is proposed for the partial discharge localization.The experimental verification shows that the OMP-DAMAS acoustic imaging algorithm can not only maintain high precision positioning,but also significantly reduce the calculation time of the algorithm,which is suitable for the partial discharge positioning detection of power equipment.

关 键 词:声学成像 波束形成 局部放电 麦克风阵列 

分 类 号:TM591[电气工程—电器]

 

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