电源学报2023，Vol.21Issue(5)：110-117,8.DOI:10.13234/j.issn.2095-2805.2023.5.110
基于卷积神经网络多判据融合的井下电网故障选线方法
Fault Line Selection Method for Mine Power Grid Based on Fusion of Multiple Criteria of Convolutional Neural Network
摘要
关键词
深度学习/卷积神经网络/故障选线/矿井供电/信息融合Key words
deep learning/convolutional neural network(CNN)/fault line selection/mine power supply/information fusion分类
信息技术与安全科学引用本文复制引用
王玉梅,张家康..基于卷积神经网络多判据融合的井下电网故障选线方法[J].电源学报,2023,21(5):110-117,8.基金项目
河南省科技攻关资助项目(112102210004)Project Supported by Scientific and Technological Projects in Henan Province(112102210004) （112102210004）
