Design of Hot Swap Protection System of Communication Power Supply Based on Deep Learning
In modern communication system,the stability and security of power supply are very important to the system performance.This paper designs a hot swap protection system for communication power supply based on deep learning to improve the accuracy and response speed of fault diagnosis.By constructing and training a specific neural network model,the system can monitor and predict potential faults in real time,effectively protect the communication power supply,shorten the interruption time of the system and improve the overall reliability of the communication system.The research results show that the performance of the protection system in practical application is significantly better than the traditional protection technology,which confirms the application potential and practical value of deep learning technology in the field of communication power protection.
deep learningcommunication power supplyhot swap protection systemfault diagnosis
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