Prediction of Dissolved Gas Concentration in Transformer Oil Based on Hybrid Mode Decomposition and LSTM-CNN

Prediction of Dissolved Gas Concentration in Transformer Oil Based on Hybrid Mode Decomposition and LSTM-CNN

Predicting the concentration of dissolved gas in oil can help to know in advance the operation trend of transformers. A prediction method is thus proposed based on hybrid mode decomposition and LSTM-CNN network to achieve accurate gas concentration prediction. Firstly, in order to eliminate the infl...

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Bibliographic Details
Main Authors: Tie CHEN, Zhifan ZHANG, Xianshan LI, Yifu CHEN, Hongxin LI
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2023-01-01
Series:Zhongguo dianli
Subjects:
transformer
dissolved gas
hybrid mode decomposition
long short-term memory network
attention mechanism
convolutional network
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202210089
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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202210089

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