Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment

Abstract

The safe and stable operation of power transmission and transformation equipment is the foundation of power grid safety, so the prediction of power transmission and transformation equipment fault is particularly important, and the prediction of the characteristic parameters that affect the equipment fault is the core of fault prediction. In this paper, a method for predicting the characteristic parameters of power transmission and transformation equipment based on combination prediction is presented. According to the correlation analysis results of various parameters, the key prediction input data with high correlation degree with the predicted parameters are extracted automatically, and the method library including multiple single-factor prediction models, multi-factor prediction models and combined prediction models is established. The error checking method is used to automatically select the optimal prediction method, and then the characteristic parameters of the parameter are automatically predicted. The test results show that the multi-factor power transmission and transformation equipment fault feature parameter prediction method can improve the accuracy of prediction, and is of great significance to improve the scientific evaluation of equipment health status and the prediction of equipment fault.