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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02986naa a2200349 4500 | |
| 001 | oai:DiVA.org:liu-165044 | |
| 003 | SwePub | |
| 008 | 200414s2020 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1650442 URI |
| 024 | 7 | a https://doi.org/10.1016/j.measurement.2020.1076262 DOI |
| 040 | a (SwePub)liu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Chen, Dingfuu Shanghai Univ, Peoples R China4 aut |
| 245 | 1 0 | a Bayesian uncertainty evaluation of stitching interferometry for cylindrical surface |
| 264 | 1 | b ELSEVIER SCI LTD,c 2020 |
| 338 | a print2 rdacarrier | |
| 500 | a Funding Agencies|National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China [51775326]; Major State Research Development Program of China [2016YFF0101905] | |
| 520 | a Uncertainty evaluation is one of the most important concepts in metrological characterizations. This paper proposes a method for uncertainty evaluation of measurements of cylindrical surfaces by means of stitching interferometry. The proposed method is based on the Bayesian statistical analysis. The prior deviation for a tested surface is determined by both calculation of standard deviation through multiple measurements of a single sub-aperture and calibration of the optical system error. The probability distribution functions (PDF) of the prior and real misalignment error and measured data of the aperture are derived according to the stitching model. Simulated observations are approximated with the Gibbs Sampler using the Markov Chain Monte Carlo (MCMC) method. Our proposed method is a promising alternative to the ordinary least square technique (LST) with the maximum likelihood estimation (MLE) for obtaining the uncertainty of the misalignment and measurement error in the stitching results. Moreover, it can take the inevitable environment errors into account. The prediction of the uncertainty interval makes our method more attractive in industrial applications. (C) 2020 Elsevier Ltd. All rights reserved. | |
| 650 | 7 | a NATURVETENSKAPx Fysik0 (SwePub)1032 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Physical Sciences0 (SwePub)1032 hsv//eng |
| 653 | a Uncertainty evaluation; Bayesian statistics; Stitching interferometry; Cylindricity measurement | |
| 700 | 1 | a Wang, Chenu Shanghai Univ, Peoples R China4 aut |
| 700 | 1 | a Valyukh, Sergiyu Linköpings universitet,Tunnfilmsfysik,Tekniska fakulteten4 aut0 (Swepub:liu)serva66 |
| 700 | 1 | a Wu, Xinu Shanghai Univ Engn Sci, Peoples R China4 aut |
| 700 | 1 | a Yu, Yingjieu Shanghai Univ, Peoples R China4 aut |
| 710 | 2 | a Shanghai Univ, Peoples R Chinab Tunnfilmsfysik4 org |
| 773 | 0 | t Measurementd : ELSEVIER SCI LTDg 157q 157x 0263-2241x 1873-412X |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165044 |
| 856 | 4 8 | u https://doi.org/10.1016/j.measurement.2020.107626 |
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