Life Prediction for IGBT Based on Improved Long Short-Term Memory Network
Author:
Affiliation:
1. Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China,710049
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10241359/10241362/10241612.pdf?arnumber=10241612
Reference20 articles.
1. Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network;sherstinsky;Physica D Nonlinear Phenomena,2020
2. Igbt life prediction model based on optimized long and short-term memory neural network;ren;Journal of Electrical Engineering and Technology,2023
3. Igbt time series prediction research based on ssa-lstm model, semiconductor technology;leng;Semiconductor technology,2023
4. Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter
5. A non-parametric mixture of Gaussian naive Bayes classifiers based on local independent features
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