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Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Created
2021-06-21
115 commits to main branch, last one 6 months ago
remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit
Created
2021-06-10
56 commits to main branch, last one 8 months ago
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
Created
2022-04-15
16 commits to master branch, last one about a year ago
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
Created
2023-01-07
152 commits to English branch, last one 10 months ago
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
Created
2022-01-12
15 commits to main branch, last one about a year ago
The project focused on "Battery Remaining Useful Life (RUL) Prediction using a Data-Driven Approach with a Hybrid Deep Model combining Convolutional Neural Networks (CNN) and Long-Short Term Memory (L...
Created
2023-08-03
8 commits to main branch, last one about a year ago
The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Inte...
Created
2022-09-13
82 commits to main branch, last one about a year ago
Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research Paper : https://doi.org/10.1016/j.isatra.2019.08.058
Created
2021-11-09
5 commits to master branch, last one 3 years ago
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
Created
2022-12-07
18 commits to main branch, last one about a year ago
A collection of datasets for RUL estimation as Lightning Data Modules.
Created
2022-05-24
166 commits to master branch, last one 6 months ago
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Deep learning of lithium-ion battery SOH using the DeTransformer model learns the aging characteristics of the battery and then makes predictions about the battery SOH in order to monitor the health o...
Created
2023-12-21
48 commits to main branch, last one 10 months ago