How to proceed with nortonization?

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In summary: PainterGuy,In summary, PaintersGuy has solved the problem by reversing the order of the inputs to the equation.
  • #1
PainterGuy
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Hi, :smile:

Please have a see on the following link: http://img339.imageshack.us/img339/3438/imgmw.jpg

You also see my question there. There would be potential drop for Vo. I have also read that when the loop is traversed in the direction of loop current, then the IR term is subtracted; if the loop is traversed in the direction opposite to the direction of current, then IR term is added. Please help me. Thanks

Cheers
 
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  • #2
PainterGuy,

When I solved your second circuit and put my values in your equation it was right. Have you noticed that Vo=Vx? this might help simplify your problem. As for the other part of your question I follow a simple convention. When the loop current enters one end of a resistor, that is the positive side. I mark it with polarity + - from the ingoing end (+) to the out going end (-). Then as I write the loop equations I make any transition going from negative up to positive as a positive number and any path that goes from the positive terminal of the resistor (or source) to the negative terminal as a negative number. For example in your second equation you put

-Vo -2(I2 - I1)=0

I wrote

-Vo +Vx=0 then substitute Vx = 2(I1-I2)

These are the same thing since you reversed the order of I1 and I2 as you'd previously defined, but this is somewhat confusing for me to do it that way. If you always call a voltage drop negative and a voltage rise as positive it may seem less confusing.
 
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  • #3
Thank you, omega minus.

Hi everyone,

I have solved the problem. You can have a look if you like:
Part 1: http://img5.imageshack.us/img5/6241/part1dp.jpg
Part 2: http://img89.imageshack.us/img89/6678/part2g.jpg

Regards
 
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FAQ: How to proceed with nortonization?

What is nortonization?

Nortonization is a statistical method used to adjust data by removing the average effects of certain variables. This is done to improve the accuracy of the data and eliminate any potential biases.

Why is nortonization important in scientific research?

Nortonization is important because it helps to control for variables that could potentially skew the results of a study. By removing the average effects of these variables, researchers can better isolate the true relationship between the variables they are studying.

How do you determine which variables to nortonize?

The variables that are nortonized are typically chosen based on their potential to cause bias in the data. These variables may include demographics, socioeconomic status, or any other factors that are known to influence the outcome being studied.

What are the steps involved in nortonization?

The first step in nortonization is to identify the variables that need to be adjusted. Next, the average effects of these variables are calculated and removed from the data. Finally, the adjusted data can be used for analysis and interpretation.

Are there any limitations to nortonization?

While nortonization can help to improve the accuracy of data, it is not a perfect solution. It is important to carefully consider which variables to nortonize and to ensure that the method is appropriate for the specific research question at hand. Additionally, nortonization does not account for all potential biases, so other methods may need to be used in conjunction with it.

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