Understanding RMS Values: Intuition Behind Calculations

In summary: Voltage value.In summary, RMS values are calculated by squaring the voltage values, taking the average, and then finding the square root. This is done to account for the fact that power is proportional to voltage squared. The RMS value is a statistical calculation used to compare the equivalent power and heating effects of AC and DC currents. It can also be seen as a way to use the same math for different aspects of life or as a measure of the standard deviation of voltage values.
  • #1
derek181
57
2
Could someone explain to me the intuition behind RMS values? I understand how you calculate them; you take the average of the squares and square root them. I am just wondering why. For example when it comes to voltage, how did someone just think up of this magical way to compute an effective value that is equivalent to a DC value? I hope this question makes sense.
 
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  • #2
The main thing is you can't just take an arithmentic average of a sinewave to find its mean, because the average value of an ideal sine is 0! Now how would you find the "average" of a sinewave? You need to be able to compare sinewave amplitudes because a 100 V sinewave has more strength than a 1 V sinewave, but the average is both is zero! So what do you do?

So you have to square it to make sure the average is > 1. (thats the square part) Then you average it. (that's a mean). But now the units are wrong, so you need to take the square root (that's the root part). So there you have it. Not too bad, is it?
 
  • #3
Try this..
http://www.mei.org.uk/files/Industry/Resources/MEIRMSValuesStudentTrial.pdf

It's to do with the equivalent power. The problem is that power is proportional to V2 not V (eg P = V2/R). Basically you are in effect calculating the instantaneous power (squaring), then working out the average (integral), then convert that back to an equivalent voltage (square root).
 
  • #4
In some cases I have to compare motion measurements on stuctures subjected to irregular loads with simulated data. Because the response is very irregular and fuzzy I can only compare statistical values. The RMS value is such a statistical value, and is the first thing I usually will compare.
 
  • #5
So because P is proportional to the voltage squared we take the integral of the voltage squared with respect to time and then square root it at the end to just get the voltage and the basis of this is off of the fact that we need to find equivalent heating effects between ac and dc? Also what is this talk about the RMS being a statistical calculation?
 
  • #6
derek181 said:
So because P is proportional to the voltage squared we take the integral of the voltage squared with respect to time and then square root it at the end to just get the voltage and the basis of this is off of the fact that we need to find equivalent heating effects between ac and dc? Also what is this talk about the RMS being a statistical calculation?
One way of looking at is could be that it's just another example where we use the same Maths to deal with two different aspects of life. You could also think in terms of a situation where the Power is delivered at random by a series of ' rectangular spikes'. The Mean Power arriving would be sum of the squares of the spike voltages arriving per second and the equivalent DC voltage would be the RMS value. From a statistical point of view, this standard deviation of the Voltage values would be the same as the RMS value (same calculation, same numerical answer)
 

Related to Understanding RMS Values: Intuition Behind Calculations

1. What is an RMS value?

An RMS (Root Mean Square) value is a way of representing the average value of a fluctuating signal or data set. It is calculated by taking the square root of the average of the squared values in the set.

2. How is an RMS value different from a regular average?

An RMS value takes into account the magnitude and direction of the values in a set, while a regular average only considers the magnitude. This makes the RMS value a more accurate representation of the data, especially for fluctuating or alternating signals.

3. Why is the square root taken in the RMS calculation?

The square root is taken to convert the squared values back to their original units and to account for the direction of the values. It also helps to eliminate the negative values in the set, resulting in a positive RMS value.

4. What is the significance of the term "mean square" in RMS?

The term "mean square" refers to the fact that the RMS value is calculated by taking the mean (average) of the squared values in the set. This helps to account for the varying magnitudes and directions of the values in the set.

5. How is the RMS value useful in real-world applications?

The RMS value is commonly used in electrical engineering and physics to measure the effective or average value of fluctuating signals, such as AC currents or voltages. It is also used in statistics to measure the variability of a set of data. Additionally, the RMS value is used in audio engineering to measure the power and loudness of sound signals.

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