Low Frequency Defect Location Method for Dry-type Transformer Based on Generalized Inverse Beamforming Spectrum and Compressed Sensing
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 accura-cy without increasing the array size.Based on the traditional generalized inverse beamforming theory,the source strength co-efficients 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.
万方数据
维普
