Engineering 103 –UMass Boston
CW 10
(In-Class-Work
10)
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Data Modeling/Curve Fitting with LabVIEW:
Arrays, XY Graph, Build Array, and Multiple Plot Make a VI that finds the best linear fit Y’=a*X+b for the table of data shown below.
On a same XY graph (do not use “Express XY Graph”) plot both the raw data and
the fit curve. It should also output the parameters a (slope) and b (intercept),
and the MSE (Mean Square Error, an equivalent parameter as our “Standard
Deviation” that indicates how well our model fits to the data). Use two Arrays
with a Digital Control in each to input raw data X and Y. Use Linear
Fit under Analysis-Curve Fitting to find the best linear fit. Then
use two Bundles (under Cluster) and a BUILD ARRAY (under
Array) to do the multiple plot. The raw data should go in first, then
the fit curve, into the Build Array, whose output goes into the XY
Graph. Right click on Plot 0 on the XY Graph to choose Scattered
Plot under Common Plots for the raw data,
the fit curve should be a continuous line. Use an Array with a Numeric
Indicator to output the coefficients a and b, and a
Numeric Indicator for the MSE.
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Please insert names and dates within the Front Panels. By alphabetical
order of the last names, the first two students in each team will submit LabVIEW LLB file cw10_XX_a.llb,
the next two students will submit LabVIEW LLB file
cw10_XX_b.llb, to the files folder in the server. Each LLB file should contain two VI’s
corresponding to this CW. These files need to be uploaded to the server today
to receive credit.
*Remember
that this is an individual work (turn it in, as instructed, with your name and
date). Home-works and class-works count 20% toward the course grade.
Class-works are done in class.