Transformer Behavior Feature Identification and Analysis Technology Based on Acoustic Interference

Abstract

At present, most of the researches are based on linear systems, whose convergence speed and steady-state error are irreconcilable, and in actual operation, nonlinear factors greatly reduce the control performance of linear systems. If the nonlinear problem in the system can be solved, the active noise reduction system can choose low-cost electroacoustic devices with nonlinear distortion, which can not only improve the noise reduction performance, but also has special significance for reducing the cost of the system. Therefore, the main purpose of this paper is to study the feature identification and analysis of transformers based on sound wave interference. This paper explores the propagation, absorption and radiation process of the vibration generated by the transformer core and winding in the surrounding space, and finally obtains the vibration and noise signals of the transformer body, as well as the air sound field distribution at a specific spatial Experiments show that, compared with before the noise reduction experiment, the mean value of the noise in each main frequency band is reduced by about 7dB after the noise reduction experiment.