Journal of Engineering for Gas Turbines and Power
Towards Generalisable Predictive Health Models For Diverse Turbofan Engines Via Knowledge Transfer
Abstract Predictive models for aircraft engines are being developed to forecast engine health conditions based on available operational data. In-service engine data will be the most valuable information to build such a model but may not always be accessible or sufficient. A pre-trained model can be a possible alternative, if it can be extended to new and other engine families. The objective of this paper is to demonstrate knowledge transfer by evaluating a predictive engine health model across different application …