Interpretation of DGA for Transformer Fault Diagnosis with Complementary SaE-ELM and Arctangent Transform
发布时间:2021-09-11 点击次数:
影响因子:2.931
DOI码:10.1109/TDEI.2015.005410
所属单位:新能源与动力工程学院
教研室:新能源系
发表刊物:IEEE Transactions on Dielectrics and Electrical Insulation
刊物所在地:IEEE
关键字:Dissolved gas analysis (DGA), self-adaptive evolutionary extreme
learning machine, fault diagnosis, arctangent transform.
第一作者:Shuaibing Li; Guangning Wu; Bo Gao; Changjin Hao; Dongli Xin; Xiaobing Yin
论文类型:期刊论文
学科门类:工学
一级学科:电气工程
文献类型:J
卷号:23
期号:1
页面范围:586-595
是否译文:否
发表时间:2016-02-26
收录刊物:SCI、EI
发布期刊链接:https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=94
上一条:Quanyi Gao, Shuaibing Li*, Yi Cui, Yongqiang Kang and Haiying Dong. Aging mechanism and life estimation of photovoltaic inverter dc-link capacitors in alternating humid and thermal environment[J]. Chinese Journal of Electrical Engineering, 2024, 10(1): 48-62.
下一条:Li Shuaibing, Ma Hui*, Tapan Saha, Yang Yan, Wu Guangning. On particle filtering for power transformer remaining useful life estimation[J]. IEEE Transactions on Power Delivery, 2018, 33(6): 2643-2743.