https://github.com/arundo/amld2019-equipment-ad
Workshop materials from Applied Machine Learning Days 2019 in Lausanne
https://github.com/arundo/amld2019-equipment-ad
Last synced: about 1 year ago
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Workshop materials from Applied Machine Learning Days 2019 in Lausanne
- Host: GitHub
- URL: https://github.com/arundo/amld2019-equipment-ad
- Owner: arundo
- License: mit
- Created: 2019-02-03T20:20:05.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-06-17T22:51:13.000Z (almost 2 years ago)
- Last Synced: 2025-03-25T07:36:14.990Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 4.7 MB
- Stars: 3
- Watchers: 5
- Forks: 7
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Applied Machine Learning for Anomaly Detection on Equipment
**Workshop presented during AMLD2019 26.01.2019 in Lausanne**
Original description is available at [AMLD webpages](https://www.appliedmldays.org/workshops/applied-machine-learning-for-anomaly-detection-on-equipment).
The introductory slides are available in the [slides](/slides) folder of this repository.
## Setup
To reproduce the virtual environment used for the workshop install
[pipenv](https://pipenv.readthedocs.io/en/latest/) and type:
```bash
pipenv install
```
Then you should be able to start a jupyter notebook and execute the notebook content.
### Note
We are currently not providing access to [Arundo Composer](https://docs.arundo.com/composer/overview)
therefore you won't be able to follow the second part of the tutorial and deploy models to
[Arundo Fabric](https://docs.arundo.com/fabric/overview).
## Data
The data used in this workshop was extracted from the [Turbofan engine degradation simulation data set](https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan) (dataset ID: "FD001").
Reference: Saxena, A., Goebel, K., Simon, D. and Eklund, N., 2008, October. Damage propagation modeling for aircraft engine run-to-failure simulation. In Prognostics and Health Management, 2008. PHM 2008. International Conference on (pp. 1-9). IEEE.
## Questions? Suggestions?
If you have any questions about the presented content or would like to suggest
ways we could improve this tutorial please reach out to us at
[support@arundo.com](mailto:support@arundo.com).