Dynamic Incipient Fault Forecasting for Power Transformers Using an LSTM Model
Author:
Affiliation:
1. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.
Funder
Engineering and Physical Sciences Research Council, and the data used in this study was provided by General Electric
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/94/10142149/10061284.pdf?arnumber=10061284
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1. Transformer failure diagnosis using fuzzy association rule mining combined with case‐based reasoning
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5. Artificial intelligence model for transformer fault diagnosis using a constructed database
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