摘要
阐述传统巡检方法中的人工观察和经验判断,效率低且易受主观因素影响。探讨基于大数据的电力设备三维巡检分析模型、故障预测模型的设计和应用,并设计实验方法,分析实验结果。
This paper describes the low efficiency and susceptibility to subjective factors of manual observation and empirical judgment in traditional inspection methods.It explores the design and application of a big data based 3D inspection analysis model and fault prediction model for power equipment,and designs experimental methods to analyze the experimental results.
作者
李国军
王学民
艾则孜江·加帕尔
塔伊尔江·巴合依
夏治
王耀
辛国建
LI Guojun;WANG Xuemin;Aizezijiang Gapar;Tai'erjiang Baheyi;XIA Zhi;WANG Yao;XIN Guojian(State Grid Xinjiang Electric Power Co.,Ltd.Urumqi Power Supply Company,Xinjiang 830091,China)
出处
《电子技术(上海)》
2024年第7期326-327,共2页
Electronic Technology
关键词
三维巡检技术
故障预测
模型研究
3D inspection technology
fault prediction
model research