首页|期刊导航|中国电机工程学会电力与能源系统学报（英文版）|Online Monitoring Method for Insulator Self-explosion Based on Edge Computing and Deep Learning

Online Monitoring Method for Insulator Self-explosion Based on Edge Computing and Deep Learning

Baoquan Wei Zhongxin Xie Yande Liu Kaiyun Wen Fangming Deng Pei Zhang

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(6)：1684-1696,13.

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(6)：1684-1696,13.DOI:10.17775/CSEEJPES.2020.05910

Online Monitoring Method for Insulator Self-explosion Based on Edge Computing and Deep Learning

Baoquan Wei ¹Zhongxin Xie ¹Yande Liu ²Kaiyun Wen ¹Fangming Deng ¹Pei Zhang³

作者信息

1. State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure,East China Jiaotong University,Nanchang 330013,China
2. School of Mechatronics and Vehicle Engineering,East China Jiaotong University,Nanchang 330013,China
3. School of Electrical Engineering,Beijing Jiaotong Uni-versity,Beijing 10091,China
折叠

摘要

关键词

Deep learning/edge computing/insulator self-explosion/online monitoring/power inspection

Key words

Deep learning/edge computing/insulator self-explosion/online monitoring/power inspection

引用本文复制引用

Baoquan Wei,Zhongxin Xie,Yande Liu,Kaiyun Wen,Fangming Deng,Pei Zhang..Online Monitoring Method for Insulator Self-explosion Based on Edge Computing and Deep Learning[J].中国电机工程学会电力与能源系统学报（英文版）,2022,8(6):1684-1696,13.

基金项目

This work was supported by the Natural Science Foundation of China(52167008),Outstanding Youth Fund Project of Jiangxi Natural Science Foundation(20202ACBL214021),Key Research and Devel-opment Plan of Jiangxi Province(20202BBGL73098),Science and Technol-ogy Project of Education Department of Jiangxi Province(GJJ210650). （52167008）

中国电机工程学会电力与能源系统学报（英文版）

OACSCDCSTPCDEISCI

ISSN：2096-0042

访问量6

下载量0

段落导航