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Frontiers in Energy Research
(May 2022)
Multisource Heterogenous Data Fusion for Fault Identification of Buried Substations
Yifang Jin,
Baling Fang,
Baling Fang,
Ziqi Da,
Shanhe Huang,
Chengxin Zhao
Affiliations
Yifang Jin
College of Electrical and Information Engineering, Hunan University, Changsha, China
Baling Fang
College of Electrical and Information Engineering, Hunan University, Changsha, China
Baling Fang
Huaxiang Xiangneng Technology Co., Ltd., Yiyang, China
Ziqi Da
College of Electrical and Information Engineering, Hunan University, Changsha, China
Shanhe Huang
College of Electrical and Information Engineering, Hunan University, Changsha, China
Chengxin Zhao
College of Electrical and Information Engineering, Hunan University, Changsha, China
DOI
https://doi.org/10.3389/fenrg.2022.909520
Journal volume & issue
Vol. 10
Abstract
Read online
No abstracts available.
Keywords
acoustic signals
multi-source heterogeneous data fusion
buried transformer
fault identification
feature extraction
meta-learning
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