Uncertainties associated with the use of opacity meters (smoke meters)

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Calculating the uncertainty associated with opacity meters, used for measuring smoke density in diesel car exhaust, requires understanding the influencing factors that contribute to this uncertainty. Practical statistical methods are needed to quantify these uncertainties, but specific guidance or models for opacity meters are scarce. Users are seeking detailed instructions or examples to facilitate their calculations. The discussion highlights a gap in available resources for accurately assessing measurement uncertainty in this context. Assistance in the form of practical models or calculations is requested to aid in this process.
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Please, I need practical instruction/calculation to find the uncertainty associated with the use of opacity meters (smoke meters). I cannot even start to calculate; I cannot find anything on this topic.
Thx a lot.
 
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The uncertainty? What do you mean?
 
Drakkith said:
The uncertainty? What do you mean?

Well, I need to calculate uncertainty by using statistical methods, which I generally have. But I need influencing factors which are contributing to mentioned uncertainty, for instrument called opacity meter (smoke meter).
That instrument measures, if smoke at car exhaust (for diesel cars only) is too thick, literally.
Practical model of calculation would be perfect, if someone have it.

Thanks for every effort to help me.
Best regards.
 
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