Prediction of Remaining Useful Life (RUL) of JET engine

The main goal of this post is to detail my development of a model for doing predictive maintenance on commercial turbofan engines. The predictive maintenance method utilized here is a data-driven method, which means that data from the operating jet engine is used to simulate predictive maintenance. The project's goal is to develop a prediction model for estimating a jet engine's Remaining Useful Life ( RUL) based on run-to-failure data from a fleet of comparable jet engines. The Prognostics and Health Management PHM08 Challenge Data Set was developed by NASA and is now available to the public. The data collection is used to forecast jet engine problems over time.