PPT Slide
Data analysis include: mathematical, statistical and spectral analysis
Mathematical : Interpolation, Extrapolation, Integration, polynoms on data,etc.;
Statistical : Fit to curve, (multi-)regression, tests, RMS, Covariance, etc.;
Spectral : FFT, A/C Correlation, Spectrum, etc.;
The ‘Fit to polynom’ facility
will calculate the second
degree polynomial fit of the
actual measured data, will
calculate a number of extra
polated points and will plot
the new curve of the fitted
polynom. The user can ask
also the calculation of points
superior of the last measured
point (last corrosion test time)
so that a second degree poly
nomial prediction of the test
Manipulations on data arrays include:
-mathematical: inverse sign, log, exp, 1/x, sqrt(x), x2
-constant : +a, -a, /a, *a
-arrays : a1+a2, a1-a2, a1/a2, a1*a2