基于大数据的电力设备状态检测技术分析
Analysis of Power Equipment Status Detection Technology Based on Big Data
廖绍成1
作者信息
- 1. 国网浙江新昌县供电有限公司,浙江 312500
- 折叠
摘要
阐述基于大数据分析的电力设备状态检测技术,包括数据采集、预处理、特征提取、建模与分析等步骤.以电力变压器状态监测和智能电网中的故障预测与响应为例,展示该技术在实践中的应用.
Abstract
This paper expounds the technology of power equipment status detection based on big data analysis,including steps such as data acquisition,preprocessing,feature extraction,modeling,and analysis.It takes the monitoring of power transformer status and fault prediction and response in smart grids as examples to demonstrate the practical application of this technology.
关键词
大数据分析/特征提取/建模分析/设备状态检测Key words
big data analysis/feature extraction/modeling analysis/equipment status detection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据