关键词: 局部放电, 声学成像, 波束形成算法, 故障识别

Abstract:

Partial discharge is a manifestation of insulation degradation of electrical equipment during long-term operation,which eventually leads to insulation breakdown of equipment.It is extremely important that the partial discharge is detected promptly.Based on the accompanying physical phenomena in the partial discharge process,the joint detection method based on ultra-high frequency and acoustic imaging is proposed.The four types of defect discharge signals are collected by ultra-high frequency sensors,and the distribution characteristics and characteristics of the four types of graphs are analyzed.Statistical features to realize the identification and classification of 4 types of defect discharge faults.The acoustic signal emitted during the partial discharge process is collected through the spiral microphone array,and the acoustic signal of the discharge is processed by the beamforming algorithm.The discharge sound is displayed in the form of an image.The location of the source can realize the location of the partial discharge sound source of the switchgear and the identification of the discharge fault defect.

Key words: partial discharge, acoustic imaging, beamforming algorithm, fault identification