How to choose between two uncertainty calculation method?

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Discussion Overview

The discussion revolves around the appropriate method for calculating uncertainty in experimental error analysis related to heat exchanger measurements. Participants explore two different equations for uncertainty calculation based on the accuracy of measurements, specifically focusing on the context of a single measurement versus multiple measurements.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Experimental/applied

Main Points Raised

  • One participant presents two methods for calculating uncertainty: a linear approximation and a root-sum-square method, seeking advice on which to use.
  • Another participant suggests using the root-sum-square method if the accuracies are independent, noting that independent errors tend to cancel out.
  • A participant expresses uncertainty about whether the provided accuracies are standard deviations or maximal errors, questioning the appropriate method based on this distinction.
  • Further clarification is provided that if the accuracy is a systematic error, the linear method should be used, while the root-sum-square method is appropriate for standard deviations.
  • Concerns are raised about unknown types of errors, with a suggestion to use the linear method in such cases as a precaution.

Areas of Agreement / Disagreement

Participants do not reach a consensus on which method to use, as there is uncertainty regarding the nature of the accuracy values (standard deviation versus maximal error) and the implications of these distinctions on the choice of calculation method.

Contextual Notes

Participants discuss the definitions of accuracy and error types, highlighting the potential confusion between standard deviations and maximal errors, which may affect the choice of uncertainty calculation method.

Helena17
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Hello,
I have made an experimental work and I am ask to provide a formal experimental error analysis. I have a difficulty to choose the appropriate analysis way and would like to have some advices or explanations.
I have measured a temperatures at the intlet (Ti) and outlet (To) of a heat exchanger and the mass flow rate of the fluid. I can calculate the power:
Q = mC (To-Ti)
From what I learn on uncertainty calculations, I am a little bit confused. I finally found that I could calculate my uncertainty in two ways:
(1): \frac{ΔQ}{Q} = \frac{Δm}{m}+ \frac{2ΔT}{To-Ti}

(2): \frac{ΔQ}{Q} =\sqrt{\left(\frac{Δm}{m}\right)^2+\left(\frac{2ΔT}{To-Ti}\right)^2}

Δm: accuracy of the mass flowrate meter (documentation of the supplier)
ΔT: accuracy of the mass flowrate meter (value given by the calibration center)
C is admit as a constant

I made just one measurement. Which one of the above equations must I use and why?

Actually, I derived heat transfer coefficients (built a curve) from several measurements, by changing the flowrate m and the inlet temperature Ti. But no test has been repeated in the same conditions. Is the first method or the second one am I going to use for the "error analysis"?
Thank you in advance.
P.S. Please, even if you do not have a time, even a short answer would be useful for me.
 
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Helena17 said:
Hello,
I have made an experimental work and I am ask to provide a formal experimental error analysis. I have a difficulty to choose the appropriate analysis way and would like to have some advices or explanations.
I have measured a temperatures at the intlet (Ti) and outlet (To) of a heat exchanger and the mass flow rate of the fluid. I can calculate the power:
Q = mC (To-Ti)
From what I learn on uncertainty calculations, I am a little bit confused. I finally found that I could calculate my uncertainty in two ways:
(1): \frac{ΔQ}{Q} = \frac{Δm}{m}+ \frac{2ΔT}{To-Ti}

(2): \frac{ΔQ}{Q} =\sqrt{\left(\frac{Δm}{m}\right)^2+\left(\frac{2ΔT}{To-Ti}\right)^2}

Δm: accuracy of the mass flowrate meter (documentation of the supplier)
ΔT: accuracy of the mass flowrate meter (value given by the calibration center)
C is admit as a constant

I made just one measurement. Which one of the above equations must I use and why?

Actually, I derived heat transfer coefficients (built a curve) from several measurements, by changing the flowrate m and the inlet temperature Ti. But no test has been repeated in the same conditions. Is the first method or the second one am I going to use for the "error analysis"?
Thank you in advance.
P.S. Please, even if you do not have a time, even a short answer would be useful for me.


If the two accuracies are independent and the numbers you have giving us are standard deviations then use equation 2. The reason is that independent errors tend to cancel to some degree, so to "add" them correctly one must use the formula you show there.
 
Thank you ImaLooser for your explanation. I assume that the accuracies are independent. But I don't know if the accuracy of the intruments are standard deviation (I always think that they are the maximal error; I may be wrong). Actually, for a long time, I do not realize that the accuracy of an instrument can be given as a standard deviation. So, in case, it is the maximal error, should I keep equation (2)?
Thank you.
 
Helena17 said:
Thank you ImaLooser for your explanation. I assume that the accuracies are independent. But I don't know if the accuracy of the intruments are standard deviation (I always think that they are the maximal error; I may be wrong). Actually, for a long time, I do not realize that the accuracy of an instrument can be given as a standard deviation. So, in case, it is the maximal error, should I keep equation (2)?
Thank you.

If it is standard deviation then use 2. If it is systematic error, then use 1.

Systematic error is repeatable error. The system always gives exactly the same answer, but the answer is inaccurate in the same way every time.

If it is some unknown kind of error, then use 1. It will always be greater than 2, so you are playing it safe.
 
Thank you very much. I understand now the difference.
 

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