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Finding best fit equation for two knows variables

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@Vindhyachal.Takniki wrote:

Sorry PFA the VI.

 


You change the order of columns. Now the last column is z so you need to rewire the columns coming out of the index array so they are correct. The last column now seems to be Z..


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Message 21 of 34
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After wiring correctly, I get the following for the max deviation:

 

Polynomial Order. dev=x

 

  1. dev=0.18
  2. dev=0.018
  3. dev=0.007
  4. dev=0.006
  5. dev=0.004

 


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Message 22 of 34
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Sir,

 

It simple multiplications of variables only which isnot giving right results.

Labview gives almost zero error +-0.02 which is very good

 

I am saying is that there could be error in selection which degree of plunomoial like x or y or x2y to multiplied with which coefficient. It could be error.

 

Its not even c code, its simple mathematical equation which is giving error.

So must be mismatch 

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Message 23 of 34
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Oh didnt read your last two replies.

Yes i had changed the columns of data, didnt changed any wiring though, since I changed the columns only.

 

Its not even a c code, its simple math equation.

What I suspect we are multiplying wrong coefficent orders with wrong poly factor.

 

 

 

 

void get_value(float32_t x , float32_t y)
{
float32_t x2 = x * x;
float32_t x3 = x2 * x;

float32_t y2 = y * y;
float32_t y3 = y2 * y;

float32_t xy = x * y;
float32_t x2y = xy * x;
float32_t xy2 = xy * y;
float32_t z;


z = (-0.856405103370700971000000f)
+(1.063190618820774920000000f * x)
+(14.209914285379092300000000f * y)
+(-0.001525431973314523430000f * x2)
+(-0.110425437452562752000000f * xy)
+(-0.561650715977711323000000f * y2)
+(0.000112007671458926302000f * x3)
+(0.000361024027398679400000f * x2y)
+(0.002619887991367739200000f * xy2)
+(-0.009204815618802958400000f * y3);

}

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Message 24 of 34
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I don't understand why you keep attaching the same files. Once is enough. If you attach a new and different file, give it a new name. Also please exclusively use zip archives. Not everybody has tools that can open rar files.

 


@Vindhyachal.Takniki wrote:

Yes i had changed the columns of data, didnt changed any wiring though, since I changed the columns only.


Well, if you reassign the columns, you also need to change the wiring.

 


@Vindhyachal.Takniki wrote:


z = (-0.856405103370700971000000f)
+(1.063190618820774920000000f * x)
+(14.209914285379092300000000f * y)
+(-0.001525431973314523430000f * x2)
+(-0.110425437452562752000000f * xy)
+(-0.561650715977711323000000f * y2)
+(0.000112007671458926302000f * x3)
+(0.000361024027398679400000f * x2y)
+(0.002619887991367739200000f * xy2)
+(-0.009204815618802958400000f * y3);


These numbers have no resemblance to the best fit. Where do they come from? I think a handful of significant digits is probably sufficient.

 


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Message 25 of 34
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Thanks @altenbach,

A) Able to sort out the issue. Now I got the equation which is +-0.1 error. This is acceptable

Able to make equation for around 1500 data set and they work best for me

 

B) Now I want to extend it to further entire range of sensor data roughly 38000 data-set.

1st column is "z". Second column is "x" . Third column is "y"

Z = Fun(x,y)

 

x is temperature measured

y is voltage measured

 

 

C) PFA two files:

1. test RI_2Dpolynomial.vi

2. test RI_2Dpolynomial-set2.vi

 

Only diff is dataset representation. Dataset is same though

1. First file have dataset arranged in increasing order of temperature("x") i.e 0 to 50 and then again 0 to 50 and so on

2. Second have dataset in which "x" is kept same for 751 readings and then "x" is incremented by 1 and so on

 

Both datasets are same. 

Reason is I think since not good fit model comes out, it seems like need to break data into multiple set points and make equation for each dataset.

 

 

 

 

 

 

 

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Message 26 of 34
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Hi @altenbach,

 

Can u tell?

How to do it?

I have tried to break data into three parts and see equation, but still its very large error fit.

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Message 27 of 34
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You still have xyz wired incorrectly.


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Message 28 of 34
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Once you wire xyz correctly, both arrangement of the dataset give 100% identical results!

You really need to try to understand how all this works. This has been going on for over a week now !:

 

altenbach_0-1593620381254.png

 


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Message 29 of 34
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Hi @

 

 

 

 

 

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Message 30 of 34
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