摘要
阐述电力系统故障预测与诊断策略、特征提取方法和特征选择算法,探讨机器学习和深度学习模型、建模关键问题、模型评估指标,分析故障预测与诊断方法,并进行实验验证。
This paper expounds power system fault prediction and diagnosis strategies,feature extraction methods,and feature selection algorithms,explores machine learning and deep learning models,key modeling issues,model evaluation indicators,analyzes fault prediction and diagnosis methods,and conducts experimental verification.
作者
刘立石
徐承森
汪健
王恒杰
程浩
王超
LIU Lishi;XU Chengsen;WANG Jian;WANG Hengjie;CHENG Hao;WANG Chao(State Grid Lu'an Power Supply Company,Anhui 237000,China)
出处
《电子技术(上海)》
2023年第10期392-393,共2页
Electronic Technology
关键词
大数据技术
电力系统
故障预测
故障诊断
big data technology
power system
fault prediction
fault diagnosis