摘要
阐述数字化电力系统中的能源管理与优化策略,探讨故障检测与诊断中的特征提取方法以及特征选择技术。在特征提取后,应选择最具有代表性和区分性的特征子集,以减少特征维度和冗余性。
This paper expounds energy management and optimization strategies in digital power systems,explores feature extraction methods and feature selection techniques in fault detection and diagnosis.After feature extraction,the most representative and discriminative feature subset should be selected to reduce feature dimensions and redundancy.
作者
关新宇
宋德琦
贺明强
靳君
GUAN Xinyu;SONG Deqi;HE Mingqiang;JIN Jun(State Grid Baiyin Power Supply Company,Gansu 730900,China)
出处
《集成电路应用》
2024年第2期218-219,共2页
Application of IC
关键词
能源管理
故障检测
特征提取
特征选择
energy management
fault detection
feature extraction
feature selection