What is it about?
It describes an uncertainty calculation method of compressor mass flow rate maps considering the following uncertainties: 1) Uncertainty due to inputs 2) Uncertainty due to outputs 3) Uncertainty due to training data 4) Uncertainty due to model random error
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Why is it important?
It finds out that uncertainties due to training data and model random error can be significant in extrapolation scenarios and are much more significant than uncertainty due to inputs that most users only calculate.
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This page is a summary of: A method to calculate uncertainty of empirical compressor maps with the consideration of extrapolation effect and choice of training data, Science and Technology for the Built Environment, August 2017, Taylor & Francis,
DOI: 10.1080/23744731.2017.1372805.
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