基于5G的新能源电力设备故障诊断系统设计研究
Design and Research of Fault Diagnosis System for New Energy Power Equipment Based on 5G
沈传鑫1
作者信息
- 1. 中国电建新能源集团股份有限公司东北分公司,吉林 长春 130000
- 折叠
摘要
设计了一种基于 5G的新能源电力设备故障诊断系统,以提升设备运维效率和电力系统稳定性.通过集成高精度传感器、边缘计算以及深度学习算法,系统实现了对新能源电力设备的实时监测与精准故障诊断.实验结果表明,该系统在诊断准确率、诊断时延、数据传输可靠性以及响应时间方面表现优异,为新能源电力设备的智能化管理提供了技术支持.
Abstract
This paper designs a fault diagnosis system for new energy power equipment based on 5G to improve the efficiency of equipment operation and maintenance and the stability of power system.By integrating high-precision sensors,edge calculation and deep learning algorithm,the system realizes real-time monitoring and accurate fault diagnosis of new energy power equipment.The experimental results show that the system is excellent in diagnosis accuracy,diagnosis delay,data transmission reliability and response time,which provides technical support for intelligent management of new energy power equipment.
关键词
5G/新能源电力设备/故障诊断/边缘计算Key words
5G/new energy power equipment/fault diagnosis/edge computing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据