Research on fast solution method for vibration prediction of digital twin substation equipment based on neural network model

Abstract

This study began by building a series of high-quality simulation modules of real space clones to obtain comparable data and conditions, and comparing them with data and situations obtained from the real state module to bring the system closer to reality. And the imaging model uses a number of numbers to generate the number of samples to train the neural network model of the plan. Finally, this paper takes the three-phase three column double winding transformer models of the module as an example to evaluate the proposed method of evaluating the design characteristics of the module.