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）|Improved Multi-grained Cascade Forest Model for Transformer Fault Diagnosis
中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(1)：468-476,9.DOI:10.17775/CSEEJPES.2021.04670
Improved Multi-grained Cascade Forest Model for Transformer Fault Diagnosis
Improved Multi-grained Cascade Forest Model for Transformer Fault Diagnosis
摘要
关键词
Convolutional neural networks/dissolved gas analysis/fault diagnosis/multi-grained cascade forest(gcForest)/power transformerKey words
Convolutional neural networks/dissolved gas analysis/fault diagnosis/multi-grained cascade forest(gcForest)/power transformer引用本文复制引用
Yiyi Zhang,Yuxuan Wang,Jiefeng Liu,Heng Zhang,Xianhao Fan,Dongdong Zhang..Improved Multi-grained Cascade Forest Model for Transformer Fault Diagnosis[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(1):468-476,9.基金项目
This work was supported in part by the National Natural Science Foundation of China under Grant(52277138)and Natural Science Foundation of Guangxi under Grant(2018JJB160064 （52277138）
2018JJA160176). （）
