Examining the accuracy of Space Shuttle support loads using probabilistic analysis techniques

1994 ◽  
Vol 31 (5) ◽  
pp. 814-820 ◽  
Author(s):  
J. A. Richardson ◽  
J. S. Townsend
2014 ◽  
Author(s):  
Mustafa Sacit Cetiner ◽  
none, ◽  
George F. Flanagan ◽  
Willis P. Poore, III ◽  
Michael David Muhlheim

This chapter provides the motivations behind the usage of probabilistic analysis in the domains of science and engineering. This is followed by a brief introduction of some of the foremost concepts of probabilistic analysis and the widely used probabilistic analysis techniques. The chapter concludes by highlighting some of the limitations of the traditional probabilistic analysis techniques.


2008 ◽  
Vol 51 (2) ◽  
pp. 193-203 ◽  
Author(s):  
Fred B. Oswald ◽  
Timothy R. Jett ◽  
Roamer E. Predmore ◽  
Erwin V. Zaretsky

Author(s):  
John A. Hunt

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].


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