基于深度学习的变电设备状态监测与故障诊断技术分析

Analysis of Status Monitoring and Fault Diagnosis for Substation Equipment Based on Deep Learning

阐述基于深度学习的变电站设备状态监测与故障诊断技术,介绍深度学习的应用及优势,设计相应模型并进行实验验证。通过对设备数据监测与分析,能有效改善设备预防性维护与故障诊断效率。

This paper describes the status monitoring and fault diagnosis technology of substation equipment based on deep learning,introduces the application and advantages of deep learning,designs corresponding models,and conducts experimental verification.It can effectively improve the efficiency of preventive maintenance and fault diagnosis of equipment by monitoring and analyzing equipment data.