Acoustic Imaging Detection Technology of Electrical Equipment Based on Passive Sound Source Ranging
Lin Qian, Yang Jingjing, Ma Jinliang, Sun Yandong, Wang Feifei, Huang Xuezeng, Liu Yongli · 2023
Many abnormal states of electrical equipment will produce abnormal sound. Through the detection and analysis of abnormal sound signals of electrical equipment, the spatial distribution information of abnormal sound can be obtained. In the acoustic imaging detection of electrical equipment, different grid point distance will affect the sound source distance detection and sound source location detection, unreasonable grid division method will greatly reduce the detection effect. When the traditional detection method is used for the acoustic imaging detection of electrical equipment, when the acoustic source distance is inconsistent with the pre-specified detection distance, a large error will be produced. Therefore, this paper proposes an acoustic imaging detection technology for electrical equipment based on passive sound source ranging. This technology adopts dynamic grid method to optimize the detection accuracy. It can not only invert and calculate the distance between the electrical equipment abnormal sound source and the array plane, but also make the selection of acoustic power as the scanning plane more scientific, so that the acoustic cloud image detected by the scanning plane can be obtained. It can be fused with visible image proportionally without error, which improves the accuracy of acoustic imaging detection of electrical equipment.