摘要
为了提高高压电气设备在试验过程中的故障检测效率与安全性,研究了自动化预警技术在高压电气试验中的应用。以高压电气试验中的数据采集、预处理及特征提取为基础,分析了多种预警算法的优化与应用效果。结果表明:自动化预警系统能够通过实时监控与精准分析,有效识别设备的潜在故障,显著降低误报率与漏报率,提升了设备运行的安全性与稳定性。
In order to improve the efficiency and safety of fault detection of high voltage electrical equipment in the test process,this paper studies the application of automatic early warning technology in high voltage electrical test.Based on the data collection,preprocessing and feature extraction in high voltage electrical test,the optimization and application effect of various early warning algorithms are analyzed.The results show that the automatic early warning system can effectively identify the potential faults of the equipment through real-time monitoring and accurate analysis,significantly reduce the false alarm rate and omission rate,and improve the safety and stability of the equipment operation.
作者
王国瑞
谢文波
WANG Guorui;XIE Wenbo(State Grid Jiuquan Power Supply Company,Jiuquan,Gansu Province,735000 China)
出处
《大众科学》
2024年第24期9-11,共3页
China Public Science
关键词
自动化预警技术
高压电气试验
数据分析
预警算法
Automation early warning technology
High voltage electrical test
Data analysis
Early warning algorithm
