Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kassahun Asamene"'
Publikováno v:
Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII.
Publikováno v:
Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII.
Publikováno v:
International Journal of Machine Learning and Computing. 5:313-318
Publikováno v:
AIP Conference Proceedings.
Composite structural members experience extensive and complex damage that accumulate in a relatively steady pace as the structure is quasi-statically loaded. This damage progression which starts as matrix cracks, delaminations, and random fiber break
Autor:
Kassahun Asamene, Mannur J. Sundaresan
Publikováno v:
Wear. 296:607-618
Acoustic emission signals generated by sliding friction between two flat steel surfaces are characterized. A test fixture to simulate the reciprocating motion between the two surfaces under controlled conditions is developed. Sliding friction under s
Publikováno v:
SoutheastCon 2015.
Feature selection techniques are investigated to increase the accuracy of classification while reducing the dimensionality of the feature space. Dimensionality reduction techniques investigated include principal component analysis (PCA), recursive fe
Publikováno v:
Structural Health Monitoring 2015.
Composite materials experience complex evolution of damage even under static loading conditions. These damage events are associated with acoustic emission signals and such events have been extensively studied in the past to identify the different typ
Publikováno v:
Ultrasonics. 59
Influence of attenuation on acoustic emission (AE) signals in Carbon Fiber Reinforced Polymer (CFRP) crossply and quasi-isotropic panels is examined in this paper. Attenuation coefficients of the fundamental antisymmetric (A0) and symmetric (S0) wave
Publikováno v:
SPIE Proceedings.
Composite materials are profuse emitters of acoustic emissions (AE) during the occurrence of damage. In some cases, the signals measured are due to growth of noncritical damage. To have a more accurate SHM technique, distinguishing between critical a
Publikováno v:
SPIE Proceedings.
Relative motion between surfaces of mechanical parts causes surface wear and damage. The degradation to the surfaces has been monitored using vibration characteristics as well as acoustic emissions generated during the relative surface movements. In