archd3sai / Predictive-Maintenance-of-Aircraft-Engine

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Date Created 2019-05-07 (5 years ago)

Commits 50 (last one 2 years ago)

Stargazers 131 (-1 this week)

Watchers 2 (0 this week)

Forks 43

License unknown

Ranking

RepositoryStats indexes 565,600 repositories, of these archd3sai/Predictive-Maintenance-of-Aircraft-Engine is ranked #235,692 (58th percentile) for total stargazers, and #467,712 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,569/16,305.

archd3sai/Predictive-Maintenance-of-Aircraft-Engine is also tagged with popular topics, for these it's ranked: classification (#245/526)

Other Information

archd3sai/Predictive-Maintenance-of-Aircraft-Engine has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

cnn-keras regression classification rul-prediction feature-importance lstm-neural-networks predictive-maintenance similarity-based-model exponential-degradation

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1 commits on the default branch (master) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-09-25 @ 09:44am, id: 185443445 / R_kgDOCw2kdQ