Calculation Of Linearity Error
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(Calibration) Calculator Tip: Use the Tab key to move field to field. Directions: 1. Enter calibration range and press
Linearity Error Definition
Set Range. 2. Enter values in all remaining cells and how to calculate linearity error in excel press Calculate. Calibration range: in (254 mm) Excitation: volts Part number: Serial number: Test number:
Calculation Of Linearity From Graph
Span(%) Step(in) Step(mm) Actual(mV) Ideal(mV) Error(mV) Error(%) 0 0.000 0.000 1.00000 4.00000 0.04000 10 1.000 25.400 1000.25455 -10.25455 -0.10255 20 2.000 50.800 1999.50909 5.49091 0.05491 rrf calculation from linearity 30 3.000 76.200 2998.76364 -8.76364 -0.08764 40 4.000 101.600 3998.01818 3.98182 0.03982 50 5.000 127.000 4997.27273 -4.27273 -0.04273 60 6.000 152.400 5996.52727 7.47273 0.07473 70 7.000 177.800 6995.78182 14.21818 0.14218 80 8.000 203.200 7995.03636 -5.03636 -0.05036 90 9.000 228.600 8994.29091 4.70909 0.04709 100 10.000 254.000 9993.54545 -11.54545 -0.11545 Results Line Slope linearity calculation worksheet xls 999.254545 mV/in Sensitivity 99.770000 mV/V/in 3.927953 mV/V/mm 0.001002 in/mV 0.025459 mm/mV Maximum Independent Linearity Error +0.142182% -0.115455% Date and Time Wed 5 Oct 2016 21:31:44 EDT What Does The Above Calculator Tell Me? The above calculator is also known as a "10-point calibration" (technically, you are providing 11 points). It will tell you how linear your position transducer (or any other set of data) is. It requires you know the calibration range of the unit and that you provide a known reference signal (Excitation). It also requires 11 points of data per the Step columns. What is Linearity? As applied to a position transducer, linearity is a measure of the deviation from a straightline ("perfection") of the position transducer's electrical output versus its mechanical position. The VRCI-P-100A Precision Potentiometer Standard defines independent linearity for a position transducer with a non-wirewound potentiometer as the maximum deviation of the actual function cha
to Thread Search Forums Recent Posts Today's Posts 1Next > Nov 11, 2009 #1 mafrasm Thread Starter New Member Nov 11, 2009 6 0 considering below figure (attachment) plz can any body tell me how to derive equation relating Vo,X (i think
How To Calculate Linearity In Method Validation
it can be done using mesh equations..but im not sure with it..) and derive the relation linearity equation for linearity error and the maximum linearity error percentage...advance thanks......... Attached Files: Doc1.doc File size: 24.5 KB Views: 31 #1 Like Reply Nov
Linear Equation Form
11, 2009 #2 mafrasm Thread Starter New Member Nov 11, 2009 6 0 plz can any body help me regarding above post..... #2 Like Reply Nov 11, 2009 #3 t_n_k AAC Fanatic! Mar 6, 2009 5,448 782 If X http://www.spaceagecontrol.com/calclin.htm is a distance measurement you can't solve the problem as you have presented it. Suppose the total resistance along the potentiometer body is Rp - which is the missing information. The positional resistance is then So the voltage measured at X would be where If the meter resistance were infinite than you would have an ideal case in which So the non-linearity you seek to quantify is the deviation from the actual value of Vx measured, taking account of the meter http://forum.allaboutcircuits.com/threads/what-does-it-mean-by-linearity-error-maximum-linearity-error-percentage.30052/ loading due to finite meter resistance (Rm), versus the ideal value of Vx measured with infinite meter resistance. #3 Like Reply Nov 12, 2009 #4 mafrasm Thread Starter New Member Nov 11, 2009 6 0 thank you very much! actually earlier i was wondering, what does it mean by linearity error? and now i understood its , simply "the error caused due to the presence of the measuring instrument in the system and the deviation of its properties from ideal case of the measuring instrument." or (error caused due to presence of non ideal measuring instrument in the cicuit) ie: in this case the error of the reading "resistance Rx",due to the presence of "voltmeter resistance Rm" in parallel with Rx... #4 Like Reply Show Ignored Content 1Next > Loading... Related Forum Posts: HEATING VALUE of a gas?? what does it mean?? Posted by Rizu in forum: Physics Replies: 2 Views: 1,005 what does it mean if Posted by Lightfire in forum: Math Replies: 13 Views: 3,131 what is integral non linearity and how much it should be in the device microcontrolle Posted by narnekarthik in forum: Embedded Systems and Microcontrollers Replies: 2 Views: 1,502 You May Also Like: The Sitara AM437x Industrial Development Kit (IDK) The SitaraAM437x Industrial Single-Chip Drive Solution for Multi-Protocol Industrial Communication and Motor Feedback is Now Available. Editorial Team A Need-to-Know on Micron's Hybrid Memory Cube Technology Micron's HMC started shipping in September.
the estimate from a scatter plot Compute the standard error of the estimate based on errors of prediction Compute the standard error using Pearson's correlation Estimate the standard error of the estimate based on http://onlinestatbook.com/2/regression/accuracy.html a sample Figure 1 shows two regression examples. You can see that in Graph A, the points are closer to the line than they are in Graph B. Therefore, the predictions in Graph A are more accurate than in Graph B. Figure 1. Regressions differing in accuracy of prediction. The standard error of the estimate is a measure of the accuracy of predictions. Recall that the linearity error regression line is the line that minimizes the sum of squared deviations of prediction (also called the sum of squares error). The standard error of the estimate is closely related to this quantity and is defined below: where σest is the standard error of the estimate, Y is an actual score, Y' is a predicted score, and N is the number of pairs of scores. The calculation of linearity numerator is the sum of squared differences between the actual scores and the predicted scores. Note the similarity of the formula for σest to the formula for σ.  It turns out that σest is the standard deviation of the errors of prediction (each Y - Y' is an error of prediction). Assume the data in Table 1 are the data from a population of five X, Y pairs. Table 1. Example data. X Y Y' Y-Y' (Y-Y')2 1.00 1.00 1.210 -0.210 0.044 2.00 2.00 1.635 0.365 0.133 3.00 1.30 2.060 -0.760 0.578 4.00 3.75 2.485 1.265 1.600 5.00 2.25 2.910 -0.660 0.436 Sum 15.00 10.30 10.30 0.000 2.791 The last column shows that the sum of the squared errors of prediction is 2.791. Therefore, the standard error of the estimate is There is a version of the formula for the standard error in terms of Pearson's correlation: where ρ is the population value of Pearson's correlation and SSY is For the data in Table 1, μy = 2.06, SSY = 4.597 and ρ= 0.6268. Therefore, which is the same value computed previously. Similar formulas are used when the sta
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