A Transfer Learning-Based High Impedance Fault Detection Method Under a Cloud-Edge Collaboration Framework

A Transfer Learning-Based High Impedance Fault Detection Method Under a Cloud-Edge Collaboration Framework

High impedance faults (HIFs) in distribution networks are hard to describe and be detected precisely because of the complexity and randomness of their features. Therefore, traditional feature analysis methods may lack sufficient reliability and generalization, which makes data-based methods a more a...

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Bibliographic Details
Main Authors: Yongjie Zhang, Xiaojun Wang, Jinghan He, Yin Xu, Fang Zhang, Yiping Luo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
High impedance faults
cloud-edge collaboration
distribution-level phasor measurement units
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9187881/

Internet

https://ieeexplore.ieee.org/document/9187881/

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