Example: loading of several files, each one containing the recorded data of a test
Each file corresponds to a “dataset”
Example: a table can correspond to a calibration law of a measurement device
Example: If your data loaded contain the parameter “AAA” which is an angle in degrees, you can create new parameters as follows:
BBB = 3 * cos(convert(AAA, deg, rad)) + 2 * AAA^2 CCC = derivative(BBB)...
Example: each table can define a part of a model
Same tab and functionalities as in “Initial Treatments”
Example: you can complete your data with results of your models (by interpolation in previous tables).
For example, if you have measured a parameter “AAA”, and you have defined the following model:
AAA = f(X1, X2) + g(X3)
you can compute the result of your model at each time step as follows (to compare the measured “AAA” with the model):
AAA_model = interp(table_f, BBB, CCC) + interp(table_g, DDD)With “table_f” and “table_g” 2 tables defined in the last “Tables” subtab,
Example 1: if you know the time intervals you want to analyze, you can just write:
Select_time = SelectZones(TIME,[ [10, 20], [30, 40] ])
If only one “dataset” is selected, 2 phases are selected. The name “Select_time” has no importance.
Example 2: if you are analyzing flight test data of an aircraft, and want to select climb phases above 10000m of altitude, which last at least 60 seconds, you could write something like:
Select_Alt = SelectZones(Altitude, [10000, 1000000]) Select_Climb = SelectZones(VerticalSpeed, [0.1, 1000]) Select_Alt_Climb = Select_Alt AND Select_Climb Final_selection = RemoveShortZones(Select_Alt_Climb, 60)