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Digital data processing method for use in aeronautics, involves predicting behaviors with new configurations and scenarios, and controlling operating indicator and parameters by integrating filter mask and indexation table
Digital data processing method for use in aeronautics, involves predicting behaviors with new configurations and scenarios, and controlling operating indicator and parameters by integrating filter mask and indexation table
The method involves extracting reference knowledge (2) from reference database and predicting behaviors with new configurations and scenarios by generating values for criteria of sturdiness. Optimal driving scenarios are generated by integrating specific constraints and the knowledge is queried with new data. An operating indicator and parameters are controlled by integrating a filter mask and a parametric indexation table.
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