foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
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 Interpretability of deep learning are explored.
RepositoryStats indexes 579,555 repositories, of these foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN is ranked #465,448 (20th percentile) for total stargazers, and #420,420 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #88,675/115,123.
foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN has Github issues enabled, there are 4 open issues and 1 closed issue.
Star History
Github stargazers over time
Watcher History
Github watchers over time, collection started in '23
Recent Commit History
82 commits on the default branch (main) since jan '22
Yearly Commits
Commits to the default branch (main) per year
Issue History
Languages
The only known language in this repository is Python
updated: 2024-11-07 @ 08:45am, id: 536127002 / R_kgDOH_SmGg