Method of constructing a behavior model of an airplane engine
AssigneeSnecma
InventorsGuilhem FOIRET, FABIEN SEGON
Life of this patent
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Abstract
A method of constructing a behavior model (32) of an airplane engine, in particular in order to track the operation of the engine, the method comprising a training step (12) of training at least one statistical regression function on the basis of a generic database (14) containing data from a plurality of airplane engines in order to establish a generic behavior model (10) of the airplane engines, and an additional step of resetting the generic behavior model from data in a database (24) specific to the above-mentioned airplane engine, in order to establish a behavior model (32) that takes account of features specific to that engine.
Claims5
A method of constructing a behavior model of an identified airplane engine, in order to track the operation of the engine, the method comprising a training step for training at least one statistical regression function in connection with a generic database containing data issued from a plurality of airplane engines in order to establish a generic behavior model of a plurality of airplane engines,
- wherein the method further comprises a step of resetting the generic behavior model in connection with data stored in a specific database which is specific to said identified airplane engine, in order to establish a specific behavior model that takes into account features specific to said identified airplane engine, the respective generic and specific databases comprising degradation indicators (t) and context variables (vi),
- wherein the training step comprises the following sub-steps:
- a/ for at least one obtained degradation indicators (t) of the generic database, determining a regression function (fi) for each context variable (vi) having an influence on said at least one degradation indicator;
- b/ modeling each degradation indicator by optimizing regression functions determined in sub-step a/;
- and
- wherein the resetting step has a sub-step of optimizing each degradation indicator by an additional statistical regression in connection with said specific database, leaving only an affine resetting as degrees of freedom.
Dependencies are inferred from the claim text.