科技创新与应用2025，Vol.15Issue(26)：178-181,4.DOI:10.19981/j.CN23-1581/G3.2025.26.042
高压输电线路在线状态评估与诊断技术
李辉 1房振鲁 1李昂1
作者信息
- 1. 国网山东电力公司菏泽供电公司,山东 菏泽 274000
- 折叠
摘要
Abstract
The high-voltage transmission line condition evaluation system collects line operating parameters in real time and uses deep neural networks to build a condition evaluation model to accurately evaluate the line health status.Based on multi-source data fusion technology,feature extraction of collected data is carried out,a multi-dimensional state evaluation index system is established,and an improved convolutional neural network is used to complete fault feature identification.The state assessment model combines the expert experience knowledge base to build an uncertainty diagnosis decision tree to improve fault diagnosis capabilities under complex working conditions.Field application results show that the evaluation system has an accuracy rate of 96.8%in fault identification,and the diagnosis time is 40%shorter than traditional methods.It has been put into use on important transmission lines in many provinces across the country,significantly improving the efficiency of power grid operation and maintenance.关键词
高压输电线路/状态评估/多源数据融合/故障诊断/深度学习Key words
high-voltage transmission line/condition assessment/multi-source data fusion/fault diagnosis/deep learning分类
信息技术与安全科学引用本文复制引用
李辉,房振鲁,李昂..高压输电线路在线状态评估与诊断技术[J].科技创新与应用,2025,15(26):178-181,4.
