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].


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    Title :

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


    Contributors:
    Manuel Aria Chao (author) / Chetan Kulkarni (author) / Kai Goebel (author) / Olga Fink (author)

    Publication date :

    2020-04-20


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




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