基于广义逆波束形成谱与压缩感知的干式变压器低频缺陷定位方法  

Low Frequency Defect Location Method for Dry-type Transformer Based on Generalized Inverse Beamforming Spectrum and Compressed Sensing

作　　者：彭伟 田昊洋 黄玉 金明雨 王枭 PENG Wei;TIAN Haoyang;HUANG Yu;JIN Mingyu;WANG Xiao(Electric Power Research Institute of State Grid,Shanghai Municipal Electric Power Company,Shanghai 200437,China;State Grid Shanghai Municipal Electric Power Company,Shanghai 200122,China;Shanghai Rhythm Electronic Technology Co.,Ltd.,Shanghai 201108,China)

机构地区：[1]国网上海市电力公司电力科学研究院,上海200437 [2]国网上海市电力公司,上海200122 [3]上海睿深电子科技有限公司,上海201108

出　　处：《噪声与振动控制》2024年第6期129-134,共6页Noise and Vibration Control

基　　金：国网上海市电力公司电力科学研究院科技项目(52094020005K)。

摘　　要：基于广义逆波束形成理论,提出一种压缩感知框架求解的低频声源识别方法,所提方法可在不增大阵列尺寸的情况下提升定位精度。在传统广义逆波束形成理论的基础上,将源强系数展开为傅里叶级数,再基于压缩感知求解框架进行优化求解。利用单极子和相干声源两个数值仿真对比常规方法与所提方法的声源识别效果,仿真结果表明:在整个分析频率下,所提方法均具有更高的识别精度,且有效抑制了噪声的干扰。模拟干式变压器铁芯松动缺陷实验进一步验证所提方法的有效性与实用性。Based on the generalized inverse beamforming theory,a low-frequency sound source identification method with a compressed perception framework solution is proposed,and the proposed method can improve the positioning accuracy without increasing the array size.Based on the traditional generalized inverse beamforming theory,the source strength coefficients are expanded into Fourier series,and then optimized based on the compressed perception solver framework.Two numerical simulations of monopole and coherent sound sources are used to compare the sound source identification effect of the conventional method and the proposed method,and the simulation results show that the proposed method has higher identification accuracy under the whole analysis frequency,and effectively suppresses the noise interference.The simulated dry-type transformer core loosening fault experiment further verifies the effectiveness and practicality of the proposed method.

关 键 词：故障诊断 变压器 广义逆波束形成 压缩感知 异响定位 

分 类 号：TM412[电气工程—电器]