基于边缘算法的配电网设备故障与智能监测系统分析
Analysis of Distribution Network Equipment Faults and Intelligent Monitoring System Based on Edge Algorithm
李科汛1
作者信息
- 1. 温州大学 生命与环境科学学院,浙江 325035
- 折叠
摘要
阐述一种基于边缘计算的配电网电气设备故障智能监测系统,综合运用小波变换、卷积神经网络、知识图谱等技术,实现故障精准诊断、风险评估和维修决策.仿真实验结果表明其有效性.
Abstract
This paper expounds an intelligent fault monitoring system for electrical equipment in distribution network based on edge computing,which comprehensively uses wavelet transform,convolutional neural network,knowledge atlas and other technologies to achieve accurate fault diagnosis,risk assessment and maintenance decision-making.The simulation experiment results show its effectiveness.
关键词
边缘计算/智能监测系统/故障诊断Key words
edge computing/intelligent monitoring system/fault diagnosis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据