transfer learning

The aim of this project is to provide an exploratory analysis of Domain Adaptation (DA) techniques in the context of PHM for Bearings fault prognosis, focusing on Health Index (HI) estimation and Remaining Useful Life (RUL) prediction. The adopted dataset is the PRONOSTIA/FEMTO-ST bearings dataset.

This project uses transfer learning to predict the cases of Pneumonia. Transfer learning is a machine learning method where model trained for a task is used as a starting point for a similar task.