Research on Health Monitoring and Prediction Model for Substation Equipment Based on Big Data Analysis
A health monitoring and prediction model for substation equipment based on big data analysis has been proposed,aiming to integrate and analyze historical operating data,monitor health status in real time,and predict future health trends.Firstly,a health status monitoring model was established using support vector machines.Then,the historical monitoring results are analyzed using a deep neural network model to predict the future health trends of the substation equipment.The results indicate that the proposed model can effectively improve the monitoring and prediction accuracy of equipment.
big data analysissubstation equipmenthealth monitoringprediction model
NETL
NSTL
万方数据
