An array virtual extension method for power equipment acoustic emission direction of arrival estimation based on high‐order cumulants  

在线阅读下载全文

作  者:Nan Zhou Lingen Luo Hui Song Gehao Sheng Xiuchen Jiang 

机构地区:[1]Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai,China

出  处:《High Voltage》2021年第1期95-105,共11页高电压(英文)

基  金:National Basic Research Program of China(973 Program),Grant/Award Number:2017YFB0902705。

摘  要:The performance of array‐based power equipment acoustic emission(AE)source direc-tional of arrival(DOA)estimation methods is decided by not only algorithm performance,but also the array hardware parameters,that is,array aperture,sensor number,and so forth.Improving the estimation performance by hardware approaches always leads to the increase in cost.In this study,an array virtual extension method based on high‐order cumulants is proposed which can improve the sensor array performance without the need for hardware change or extra investment.Compared to low‐order cumulants,the high‐order cumulants established from Taylor expansion contain higher order terms which are omitted in low order cumulants.Therefore,they have more detailed directional information about the signal source to improve the DOA estimation performance.Moreover,because high‐order cumulants contain information only for the non‐Gaussian components,the array after extension shows better anti‐Gaussian noise performance.Depending on the establishment method of the high‐order cumulant,two types of extension including aperture extension and sensor number extension are proposed for different application scenarios.Simulation and field tests results show that the array directional resolution is improved around 40%by aperture extension and the spectrum sidelobe level is reduced about 14 dB by sensor extension.

关 键 词:POWER ESTIMATION HARDWARE 

分 类 号:TM855[电气工程—高电压与绝缘技术]

 

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