Development of a Data-driven Condition-Based Maintenance Methodology Framework for an Advanced Jet Trainer

Since their introduction more than 20 years ago, PHM strate- gies for aerospace equipment have gone a long way, enabling operators and Original Equipment Manufacturers (OEM) to monitor their assets, track down abnormal behaviors and plan maintenance action in advance. On the other hand, the tran- sition from PHM strategies using simulated data to solutions utilizing real-life operational data is consistently prone to sig- nificant challenges and demands. This doctoral thesis aims to develop a PHM/CBM framework applied to a Electro-Hydraulic Actuators (EHAs) leveraging real in-service fleet data. In this paper, the first steps of the research project are presented.