Skip to content

2022 refactor - dash-turbine-maintenance #730

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

2022 refactor - dash-turbine-maintenance #730

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 0 additions & 5 deletions apps/dash-turbine-maintenance/.gitignore
View file
Open in desktop

This file was deleted.

4 changes: 2 additions & 2 deletions apps/dash-turbine-maintenance/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@
`dash-predictive-maintenance` is a dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. The data covers periods from May, 2014 to January, 2015. To predict the date when equipment will completely fail (RUL), XGBoost is used. The achieved RMSE error is `0.018534` days, which is highly accurate.

## Screenshots
![initial](screenshots/screenshot1.png)
![initial](assets/github/screenshot1.png)

![initial](screenshots/screenshot2.png)
![initial](assets/github/screenshot2.png)

## Built With
* [Dash](https://dash.plot.ly/) - Main server and interactive components.
Expand Down
Loading