Research and Application of Transformer Noise Imaging Technology Based on Beamforming

doi:10.11985/2024.01.031

Abstract

Abstract:

As the most expensive and important equipment in substation, transformer has always been the key object of research. At present, there are few researches on the transformer noise source identification. Therefore, this research combines the beamforming technology to carry out the related research on the transformer noise source identification. Firstly, according to the investigated transformer noise characteristics, the concerned noise frequency band and the sound source identification method are determined, the direction of arrival estimation of wideband signal and the related theory of beamforming are expound, and then a wideband transformer signal location idea is sort out based on frequency domain data. The simulation results confirm the rationality and accuracy of this research. Finally, a set of transformer noise source identification system is built based on LabVIEW platform, and the positioning effect of the system is tested through the field tests of the actual operating transformers under different conditions. The results prove that the noise source identification idea and the system platform built have good reliability and availability.

Key words: Transformer, beamforming, spatial spectrum estimation, noise source identification

CLC Number:

TM406

YUAN Jing, LU Hao, LIU Linghang, WANG Yongqiang. Research and Application of Transformer Noise Imaging Technology Based on Beamforming[J]. Journal of Electrical Engineering, 2024, 19(1): 290-298.

Figures/Tables 17

References 20

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产品名称	核心技术	定位精度	计算速率
产品1 (KeyVES-E32)	波束形成技术	误差在3.5°左右，定位范围较大，精度略低	较快
产品2 (9712-W-FEN)	近场声全息技术	使用距离有限制，距离增加时精度大大下降	较慢
本研究装置系统	波束形成技术	误差在2°左右，定位范围精准，定位精度高	较快