Sensing Incipient Faults in Power Transformers Using Bi-Directional Long Short-Term Memory Network-Reference-Cited by-同舟云学术

Sensing Incipient Faults in Power Transformers Using Bi-Directional Long Short-Term Memory Network

Published:2023-01 Issue:1 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Das Suchandan¹,Paramane Ashish¹^ORCID,Chatterjee Soumya²^ORCID,Rao Ungarala Mohan³^ORCID

Affiliation:

1. Department of Electrical Engineering, National Institute of Technology Silchar, Silchar, India

2. Department of Electrical Engineering, National Institute of Technology Durgapur, Durgapur, India

3. Department of Applied Sciences, University of Quebec at Chicoutimi, Chicoutimi, QC, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/9996093/10011535.pdf?arnumber=10011535

Reference21 articles.

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3. A Power Transformer Fault Diagnosis Method-based Hybrid Improved Seagull Optimization Algorithm and Support Vector Machine

4. Incipient fault diagnosis in power transformers by data-driven models with over-sampled dataset;de a lopes;Elect Power Syst Res,2021

5. Bidirectional recurrent neural networks

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