Pattern Recognition Based Auto-Reclosing Scheme Using Bi-Directional Long Short-Term Memory Network

Pattern Recognition Based Auto-Reclosing Scheme Using Bi-Directional Long Short-Term Memory Network

Precise knowledge of secondary arc extinction instant and fault nature (temporary or permanent) is necessary for auto-reclosing after a single line-to-ground fault. Existing intelligent reclosing schemes rely on the extraction of appropriate features using a signal processing module (SPM) during onl...

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Bibliographic Details
Main Authors: Muhammad Saad, Nauman Munir, Chul-Hwan Kim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial neural network (ANN) based reclosing
bi-directional long short-term memory (Bi-LSTM)
patterns based reclosing
secondary arc
single-phase auto-reclosing
Online Access:https://ieeexplore.ieee.org/document/9950451/

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