基于智能技术的电力故障检测与诊断方法分析
Analysis of Power Fault Detection and Diagnosis Methods Based on Intelligent Technology
夏锦涛1
作者信息
- 1. 淮安三新供电服务有限公司涟水分公司,江苏 223400
- 折叠
摘要
阐述通过数据采集与预处理、特征提取与选择、监督学习与无监督学习、决策支持与反馈控制的关键技术,探讨智能技术改进电力故障的监测与诊断方法,从而提前发现潜在的故障风险.
Abstract
This paper describes the key technologies of data collection and preprocessing,feature extraction and selection,supervised and unsupervised learning,decision support and feedback control,and explores the improvement of intelligent technology for monitoring and diagnosing power faults,in order to detect potential fault risks in advance.
关键词
智能技术/故障检测/诊断方法Key words
intelligent technology/fault detection/diagnostic methods引用本文复制引用
出版年
2024
NETL
NSTL
万方数据