Aircraft Engine Run-To-Failure Data Set Under Real Flight Conditions

The generation of data-driven prognostics models requires the availability of datasets with run-to-failure trajectories. In
order to contribute to the development of these methods, the dataset provides a new realistic dataset of run-to-failure
trajectories for a small fleet of aircraft engines under realistic flight conditions. The damage propagation modelling used
for the generation of this synthetic dataset builds on the modelling strategy from previous work [1] and incorporates two
new levels of fidelity. First, it considers real flight conditions as recorded on board of a commercial jet [2]. Secondly,
it extends the degradation modelling by relating the degradation process to the operation history. The dataset was
generated with the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) dynamical model [3]. More
details about the generation process can be found in [4].