Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction

Insulators installed outdoors are vulnerable to the accumulation of contaminants on their surface, which raise their conductivity and increase leakage current until a flashover occurs. To improve the reliability of the electrical power system, it is possible to evaluate the development of the fault...

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Bibliographic Details
Main Authors: Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon, Laio Oriel Seman, Viviana Cocco Mariani, Leandro dos Santos Coelho
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
attention mechanism
empirical wavelet transform
fault prediction
insulators
long short-term memory
seasonal decomposition
Online Access:https://www.mdpi.com/1424-8220/23/6/3202

Internet

https://www.mdpi.com/1424-8220/23/6/3202

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