Build an Anomaly Detection Model using Deep Learning

Workshop presented during Women in Data Science Conference 04.04.2019 in Oslo

Original description is available at WiDS pages.

The introductory slides are available in the slides folder of this repository.

Setup

To reproduce the virtual environment used for the workshop install pipenv and type:

pipenv install

Then you should be able to start a jupyter notebook and execute the notebook content.

Data

The data used in this workshop was extracted from the Turbofan engine degradation simulation data set (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.