Hi there!
I have to deal with measured data from engine oil pumps. The table containing the data from a test run contains eg these variables (=columns):
pump rpm
oil pressure
oil temperature
oil flow amount
Now I need to know eg the flow at given values of the other three variables. In most cases, the exact "point" in this 4-dimensional space is not available. So I have to set tolerances for the three constraining variables and average the points which are within the tolerance. This works OK in densely populated areas, but not in sparsely populated areas, because I would have to make the tolerances so big that the results are not usable (too many "wrong" points get hit). Inter-/extrapolating from the nearest points would be much better, but programming that seems a little hard to me.
Any hints?
Thank you very much in advance,
Joe
I have to deal with measured data from engine oil pumps. The table containing the data from a test run contains eg these variables (=columns):
pump rpm
oil pressure
oil temperature
oil flow amount
Now I need to know eg the flow at given values of the other three variables. In most cases, the exact "point" in this 4-dimensional space is not available. So I have to set tolerances for the three constraining variables and average the points which are within the tolerance. This works OK in densely populated areas, but not in sparsely populated areas, because I would have to make the tolerances so big that the results are not usable (too many "wrong" points get hit). Inter-/extrapolating from the nearest points would be much better, but programming that seems a little hard to me.
Any hints?
Thank you very much in advance,
Joe