Understanding RMS Values: Intuition Behind Calculations

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Discussion Overview

The discussion revolves around the intuition and reasoning behind the calculation of RMS (Root Mean Square) values, particularly in the context of voltage and power. Participants explore the theoretical underpinnings, applications, and statistical interpretations of RMS values in various scenarios, including AC and DC comparisons.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant seeks an intuitive understanding of why RMS values are calculated the way they are, questioning the reasoning behind using the average of squares and the square root.
  • Another participant explains that the arithmetic average of a sine wave is zero, necessitating the use of squaring to ensure a positive average value, followed by averaging and taking the square root to return to voltage units.
  • A link is provided to a resource discussing the relationship between RMS values and equivalent power, emphasizing that power is proportional to the square of voltage.
  • A participant mentions using RMS values to compare motion measurements under irregular loads with simulated data, highlighting its role as a statistical measure.
  • There is a repeated inquiry about the relationship between RMS values, equivalent heating effects between AC and DC, and the statistical nature of RMS calculations.
  • One participant suggests that RMS values can be viewed as a mathematical tool applicable to different contexts, drawing a parallel between RMS and standard deviation in statistical terms.

Areas of Agreement / Disagreement

Participants express various perspectives on the intuition and applications of RMS values, with no clear consensus reached on the best explanation or understanding of the concept.

Contextual Notes

Some participants reference the statistical nature of RMS calculations and its relationship to power, but the discussion does not resolve the nuances of these interpretations or their implications.

derek181
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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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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?
 
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).
 
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.
 
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?
 
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)
 

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