A normalization analysis method for monitoring signals based on multi-dimensional feature points

被引：0
|
作者：
Gao Z. [1 ]
Fan R. [1 ]
Luo J. [1 ]
Wang M. [1 ,2 ]
机构：
[1] State Grid Hebei Electric Power Company, Shijiazhuang
[2] Maintenance Company of State Grid Hebei Electric Power Company, Shijiazhuang
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 16期
关键词：
Cross identification; First and secondary equipment set; Inference engine; Monitoring signal; Multidimensional feature points;
D O I：
10.19783/j.cnki.pspc.181213
中图分类号：
学科分类号：
摘要：
Starting from the standard signals required for effective monitoring of all types of equipment, this paper studies a method of standardized analysis of monitoring information points. Through the analysis of monitoring information table, and cross recognition of relevant information, it can extract the voltage level and wiring mode of substation, and the first and secondary equipments contained in each voltage level. Using standard signal to generate inference engine intelligently, the standard information table of substation can be generated. Intelligent matching analysis of monitoring signals can extract problem sets with missing or irregular signals from information point tables. Experiment shows that the normalization analysis method for monitoring signals solves the problem of heavy workload and non standardized audit results in monitoring information points, providing a unified and standardized platform for substation equipment monitoring. © 2019, Power System Protection and Control Press. All right reserved.
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页码：64 / 70
页数：6
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