Fault recognition method of smart grid data acquisition system based on FNN and sequential DS fusion

Abstract It is of significant practical importance to ensure the operational safety of the smart grid, which requires real‐time fault diagnosis and identifying what causes it based on an enormous amount of data. This article further studies the intelligent fault‐identification method based on the co...

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Bibliographic Details
Main Authors: Hanzhe Qiao, Quanbo Ge, Haoyu Jiang, Ziyi Li, Zilong You, Jianmin Zhang, Fengjuan Bi, Chunlei Yu
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:Cognitive Computation and Systems
Online Access:https://doi.org/10.1049/ccs2.12006