2017
DOI: 10.1080/23744731.2017.1372805
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A method to calculate uncertainty of empirical compressor maps with the consideration of extrapolation effect and choice of training data

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Cited by 7 publications
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“…While the literature has quantified measurement uncertainty, the regression uncertainty may lead to average errors of up to 5% and 4% in power and mass flow rate predictions, respectively, as demonstrated in the studies conducted under AHRI-Project-8013 [54], and by Aute and Martin [55]. A technique for quantifying the uncertainty in the compressor map's output was introduced by Cheung et al [56], where the most important source of uncertainty is due to data training.…”
Section: Compressor Modelmentioning
confidence: 99%
“…While the literature has quantified measurement uncertainty, the regression uncertainty may lead to average errors of up to 5% and 4% in power and mass flow rate predictions, respectively, as demonstrated in the studies conducted under AHRI-Project-8013 [54], and by Aute and Martin [55]. A technique for quantifying the uncertainty in the compressor map's output was introduced by Cheung et al [56], where the most important source of uncertainty is due to data training.…”
Section: Compressor Modelmentioning
confidence: 99%