基于人工智能技术的配网电力设备运维检修系统研究
Research on the Operation and Maintenance System of Distribution Network Power Equipment Based on Artificial Intelligence Technology
周雅1
作者信息
- 1. 国网黄冈供电公司,湖北黄冈 438000
- 折叠
摘要
人工智能技术在配电网运维检修中的应用日益广泛,基于此设计基于人工智能的配网电力设备运维检修系统,采用卷积神经网络、支持矢量机等算法,实现变压器缺陷识别、温度预测、断路器机械故障诊断.通过案例实验,证实该系统在识别准确率、预测误差、诊断效率等方面具有优势,可有效提高配电网运维水平.
Abstract
The application of artificial intelligence technology in the operation and maintenance of distribution network is increasingly extensive.Based on this,the operation and maintenance system of distribution network power equipment is designed,and algorithms such as convolutional neural network and support vector machine are adopted to realize transformer defect identification,temperature prediction and mechanical fault diagnosis of circuit breakers.Through case experiments,it is proved that the system has advantages in recognition accuracy,prediction error and diagnosis efficiency,and can effectively improve the operation and maintenance level of distribution network.
关键词
人工智能/配电网/运维检修Key words
artificial intelligence/distribution network/operation and maintenance引用本文复制引用
出版年
2024
NETL
NSTL
万方数据