Zobrazeno 1 - 10
of 1 881
pro vyhledávání: '"S. W. Simpson"'
Publikováno v:
Journal of Geophysical Research. 73:7718-7718
Autor:
Rebecca Enterline, Jeffrey Mlakar, Mark A. Griswold, Galen Tingle, S. W. Simpson, Gotschall Robert, M. Stojanovska, Susanne Wish-Baratz, A. Boscia, S. Simonson-Shick, Erin Henninger, K. A. Herrmann, Lauren Ulrey, Eastman Henry, Lisa Tan
Publikováno v:
Med Sci Educ
PURPOSE: As the amount of curricular material required of medical students increases, less time is available for anatomy; thus, methods to teach anatomy more efficiently and effectively are necessary. In this randomized controlled trial, we looked at
Autor:
G. N. Ewing
Publikováno v:
Marine Geophysical Researches. 6:107-107
Autor:
Ewing, G. N.
Publikováno v:
Marine Geophysical Researches; June 1984, Vol. 6 Issue: 2 p107-107, 1p
Autor:
S. W. Simpson
Publikováno v:
Science and Technology of Welding and Joining. 14:262-273
This work presents a simplified model of metal transfer in gas metal arc welding. The model incorporates key features of metal transfer including the change in droplet diameters as welding moves from the globular into the spray metal transfer region,
Autor:
S. W. Simpson, X. Li
Publikováno v:
Science and Technology of Welding and Joining. 14:146-151
This work investigates a parametric technique for short arc welding fault detection. The independent component analysis algorithm is applied to split welding voltage and current signals into arcing and short circuiting regions. A series of parameters
Autor:
S. W. Simpson
Publikováno v:
Science and Technology of Welding and Joining. 13:176-183
This work presents a method for determining a stability index during welding by comparing signature images calculated successively from the welding voltage and current data. It is shown that, with a reasonable choice for the signature image window sc
Autor:
S. W. Simpson
Publikováno v:
Science and Technology of Welding and Joining. 13:80-86
This work presents a new method for through the arc estimation of welding parameters in gas metal arc welding based on signature images. The method is generally applicable and makes use of a novel data fitting procedure. The work covers unassisted th
Autor:
S. W. Simpson
Publikováno v:
Science and Technology of Welding and Joining. 13:87-96
The present work presents a new method for classifying welding faults in real time during gas metal arc welding based on signature images. The through the arc technique classifies faults when they occur during welding. The method is generally applica
Autor:
S. W. Simpson
Publikováno v:
Science and Technology of Welding and Joining. 12:481-486
The present work elucidates the signature image approach to welding fault detection, covering the calculation of signature image data objects from blocks of welding electrical data (voltage and current), the definition of appropriate vector operation