SLS Integrated Modal Test Uncertainty Quantification Using the Hybrid Parametric Variation Method

2022 ◽  
pp. 97-117
Author(s):  
Daniel C. Kammer ◽  
Paul Blelloch ◽  
Joel Sills
Keyword(s):  
Uncertainty Quantification ◽  
Variation Method ◽  
Parametric Variation ◽  
Modal Test ◽  
Test Uncertainty

scholarly journals Research on application method of uncertainty quantification technology in equipment test identification

2021 ◽  
Vol 336 ◽  
pp. 02026
Author(s):  
Jiajia Wang ◽  
Hao Chen ◽  
Jing Ma ◽  
Tong Zhang
Keyword(s):  
Uncertainty Quantification ◽  
Model Uncertainty ◽  
Environmental Uncertainty ◽  
Data Uncertainty ◽  
Analysis Framework ◽  
Quantification Theory ◽  
Application Method ◽  
Uncertainty Model ◽  
Research On Application ◽  
Test Uncertainty

This paper introduces the concepts of equipment test qualification and uncertainty quantification, and the analysis framework and process of equipment test uncertainty quantification. It analyzes the data uncertainty, model uncertainty and environmental uncertainty, and studies the corresponding uncertainty quantification theory to provide technical reference for the application of uncertainty quantification technology in the field of test identification.

Exit-surface wave reconstruction using a focal series

1992 ◽  
Vol 50 (2) ◽  
pp. 988-989
Author(s):  
W.J. de Ruijter ◽  
M.R. McCartney ◽  
David J. Smith ◽  
J.K. Weiss
Keyword(s):  
Surface Wave ◽  
Spherical Aberration ◽  
Data Extraction ◽  
High Sensitivity ◽  
Geometric Distortion ◽  
Variation Method ◽  
Objective Lens ◽  
Immediate Reconstruction ◽  
Exit Surface ◽  
Electron Microscopes

Further advances in resolution enhancement of transmission electron microscopes can be expected from digital processing of image data recorded with slow-scan CCD cameras. Image recording with these new cameras is essential because of their high sensitivity, extreme linearity and negligible geometric distortion. Furthermore, digital image acquisition allows for on-line processing which yields virtually immediate reconstruction results. At present, the most promising techniques for exit-surface wave reconstruction are electron holography and the recently proposed focal variation method. The latter method is based on image processing applied to a series of images recorded at equally spaced defocus.Exit-surface wave reconstruction using the focal variation method as proposed by Van Dyck and Op de Beeck proceeds in two stages. First, the complex image wave is retrieved by data extraction from a parabola situated in three-dimensional Fourier space. Then the objective lens spherical aberration, astigmatism and defocus are corrected by simply dividing the image wave by the wave aberration function calculated with the appropriate objective lens aberration coefficients which yields the exit-surface wave.

Parametric Variation

2009 ◽  
Author(s):  
Theresa Biberauer ◽  
Anders Holmberg ◽  
Ian Roberts ◽  
Michelle Sheehan
Keyword(s):  
Parametric Variation

TRANSFER TENSOR VARIATION METHOD APPLIED TO RANDOM ISING SYSTEMS

1988 ◽  
Vol 49 (C8) ◽  
pp. C8-1251-C8-1252
Author(s):  
W. Brauneck ◽  
O. Jagodzinski ◽  
D. Wagner
Keyword(s):  
Variation Method ◽  
Ising Systems

INVERSE UNCERTAINTY QUANTIFICATION OF A CELL MODEL USING A GAUSSIAN PROCESS METAMODEL

2020 ◽  
Vol 10 (4) ◽  
pp. 333-349
Author(s):  
Kevin de Vries ◽  
Anna Nikishova ◽  
Benjamin Czaja ◽  
Gábor Závodszky ◽  
Alfons G. Hoekstra
Keyword(s):  
Gaussian Process ◽  
Uncertainty Quantification ◽  
Cell Model ◽  
A Cell
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