StefanHeng / Bearing-Prediction-Portability

Case study to explore general applicability of bearing degradation prediction model

Prediction Model Portability

MDP Secure Cloud Manufacturing, Control and Automation.

Given previous bearing degradation failure onset prediction model by Yuntian/Claire Zhao, the goal is to adapt the model to a similar dataset (FEMTO Bearing Dataset) for best accuracy.

Potentially as a next step, try alternative approach that also utilizes previous knowledge, e.g. Transfer Learning.

Reference

1. A. Saxena and K. Goebel (2008). "PHM08 Challenge Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
2. J. Lee, H. Qiu, G. Yu, J. Lin, and Rexnord Technical Services (2007). IMS, University of Cincinnati. "Bearing Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA