ISSN:
1662-9752
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
In recent years the use of a special Bayesian approach on averaging ‘round-robin’ residualstress data has been implemented. This averaging approach is useful in that it copes with thesituation where systematic errors have occurred in one or more of the measurements and thusdiminishes the influence of these particular ‘wrong value’ outlier data points. The analyses not onlytake into account the measurand value, but also the uncertainties associated with each measurand. Itshould deal with data that may contain individual members with uncertainties larger than the statederror and assumes that the quoted error bar is only a lower bound on the uncertainty. This workshows what could happen when there is a ‘strong mismatch’ in uncertainties when averaging over alimited amount of data. It has been observed that in a case where there are few data points (forexample 5 or less), a strong bias can occur towards data points with a relatively small quoteduncertainty compared to other data points with larger quoted uncertainties. A ‘mismatch’ inuncertainty quotation can arise when averaging very good data with poorer data or when averagingwith data obtained from other measurement techniques. This effect is demonstrated in this work byusing fictitious data and also based on the example of real measurement data obtained by neutrondiffraction
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/02/18/transtech_doi~10.4028%252Fwww.scientific.net%252FMSF.571-572.283.pdf
