Analysis of Status Monitoring and Fault Diagnosis for Substation Equipment Based on Deep Learning
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.
deep learningequipment status monitoringfault diagnosis
NETL
NSTL
万方数据
