中国电机工程学报Issue(3)：786-786,1.
Predication for Breakdown Voltage of Air Gap Based on Electric Field Features and SVM
Predication for Breakdown Voltage of Air Gap Based on Electric Field Features and SVM
SHU Shengwen 1RUAN Jiangjun 1HUANG Daochun 1PU Ziheng 1HUO Feng 2LI Huihui1
作者信息
- 1. Wuhan University
- 2. China Electric Power Research Institute
- 折叠
摘要
关键词
breakdown voltage/prediction/electric field features/support vector machine (SVM)/short air gap/long air gapKey words
breakdown voltage/prediction/electric field features/support vector machine (SVM)/short air gap/long air gap引用本文复制引用
SHU Shengwen,RUAN Jiangjun,HUANG Daochun,PU Ziheng,HUO Feng,LI Huihui..Predication for Breakdown Voltage of Air Gap Based on Electric Field Features and SVM[J].中国电机工程学报,2015,(3):786-786,1.
