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Predicting the Fatigue Failure of Fiber Reinforced Composite Materials Using Artificial Neural Networks
(2009-09)
Artificial Neural Networks (ANN) have recently been used in modeling the mechanical behavior of fiberreinforced composite materials. ANN have also been successfully used in predicting the fatigue behavior of a certain ...
Effect of Cooling Rate on the Mechanical Properties of Glass Fiber Polypropylene Composites
(2017-01)
Composite materials have been widely used in the recent years in almost all of the industries specially the high technology industries. Properties of the thermoplastic-based composites are affected by their processing ...
Online Monitoring of Outdoor Non-Ceramic Insulators
(2011-06)
Transmitting power using overhead lines is heavily used by power utilities due to their lower cost compared with underground cables. However, overhead lines have shown great influence on power system due to frequent power ...
Novel Near-Field Microwave Testing Method for Outdoor Insulators
(2011-06)
Outdoor insulators are very vital in providing energized overhead lines mechanical support and electrical insulation from grounded structures. Insulators can be divided according to the material they are made of into glass, ...
Transformer Condition Assessment Using Artificial Intelligence
(2010-05)
As a result of the deregulations in the power system networks, utilities have been competing to optimize their operational costs and enhance the reliability of their electrical infrastructure. So, the importance of ...