| As the most expensive and important equipment in substation,transformer has been the focus of scientific research.With the development of society,more and more people pay attention to the noise of transformer.The health problems caused by transformer operation noise have been paid more and more attention.In addition,it has a good prospect to use transformer noise for substation planning and transformer operation status evaluation.In the related research of transformer noise,the research of transformer noise source identification is less.Therefore,this paper studies the transformer noise source identification combined with beamforming technology.Firstly,this paper describes the transmission of transformer noise based on the structure of transformer;understands the current situation and trend of noise source location research,and analyzes the common methods of noise source identification technology from the technical point of view;in addition,it also analyzes the related research situation of Ru Jin transformer noise,and expounds the importance of this research.Then,this paper describes the theory of beamforming and spatial spectrum estimation.According to the noise characteristics of the investigated transformer,the concerned noise frequency band is determined,the sound source identification method is determined,and a broadband transformer signal location idea based on frequency domain data is sorted out.Combined with the simulation,the influence of array element spacing on the recognition results is described;the simulation results verify the rationality and accuracy of the positioning idea in this paper.Finally,a set of transformer noise source identification system is built based on Lab VIEW platform,and the positioning effect of the system is tested through the field test of actual operation transformer under different conditions.The results show that the noise source identification idea and the system platform built in this paper have good reliability and usability. |