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.

Date Created 2022-09-13 (2 years ago)

Commits 82 (last one 2 years ago)

Stargazers 56 (0 this week)

Watchers 2 (0 this week)

Forks 1

License unknown

Ranking

RepositoryStats indexes 628,089 repositories, of these foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN is ranked #452,851 (28th percentile) for total stargazers, and #479,391 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #87,959/127,953.

foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN is also tagged with popular topics, for these it's ranked: tensorflow (#1,922/2299), keras (#663/808), interpretability (#127/180)

Other Information

foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN has Github issues enabled, there are 4 open issues and 1 closed issue.

All Topics

fcn phm keras cmapss tensorflow interpretability attention-mechanism remaining-useful-life-prediction

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: 2025-03-15 @ 03:02pm, id: 536127002 / R_kgDOH_SmGg