This demo shows how to download code and use AI Studio to run the notebooks and scripts for predicting the Remaining Useful Life (RUL) of turbofan engines using a Recurrent Neural Network (RNN) model. The project is inspired by the work on Weibull Time-To-Event Recurrent Neural Networks (WTTE-RNN) for churn modeling, as detailed in this blog post.

Start with this git repo.

Watch the demo for step by step instructions on using the code in the AIS project.

Most importantly, have fun!