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基于随机矩阵的变电站多源异常声音信号的定向方法

张瑶 赵斌 彭翔 罗林根 盛戈皞 江秀臣

高压电器2024,Vol.60Issue(7):155-162,8.
高压电器2024,Vol.60Issue(7):155-162,8.DOI:10.13296/j.1001-1609.hva.2024.07.017

基于随机矩阵的变电站多源异常声音信号的定向方法

Method of Locating Multi-source Abnormal Acoustic Signals of Substation Equipment Based on Random Matrix

张瑶 1赵斌 2彭翔 2罗林根 1盛戈皞 1江秀臣1

作者信息

  • 1. 上海交通大学电子信息与电气工程学院,上海 200240
  • 2. 江苏省如高高压电器有限公司,江苏南通 226503
  • 折叠

摘要

Abstract

The safe and stable operation of substation is very important.Whether the power equipment is at abnormal operation condition can be judged by way of analyzing the variation of the audible sound characteristics of the equip-ment in substation.The active location of abnormal sound source can quickly determine the fault section,and thus im-prove the detection efficiency of abnormal sound.In practical application,the small snapshot system with large array is often used due to the requirements of accuracy and real-time,which makes the traditional sound location methods not effectively distinguish multiple targets when the sound source angles are close.According to the random matrix theory,a sound source location method based on uniform plane matrix is proposed.The eigenvalues and eigenvectors of the sample covariance matrix are corrected by Stieltjes transform,and then the abnormal sound source is located through the spectral peak search of spatial spectrum,which can effectively improve the success rate of distinguishing adjacent sound sources.The research results show that the proposed method can use less snapshots to distinguish ad-jacent sound sources,and the resolution success rate is effectively improved.

关键词

变电站/可听声/随机矩阵/多源定位/相邻声源

Key words

substation/audible sound/random matrix/multi-source location/adjacent acoustic source

引用本文复制引用

张瑶,赵斌,彭翔,罗林根,盛戈皞,江秀臣..基于随机矩阵的变电站多源异常声音信号的定向方法[J].高压电器,2024,60(7):155-162,8.

基金项目

国家重点研发计划(2020YFB1709701). Project Supported by National Key R&D Program of Chian(2020YFB1709701). (2020YFB1709701)

高压电器

OA北大核心CSTPCD

1001-1609

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