Now showing items 121-123 of 123
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
As autonomous navigation becomes considerable and important because of the increased demand to their usage and benefits, therefore reliability and integrity issues become definite, specially when being implemented with ...
Intelligent Multi-Sensor Process Condition Monitoring
Loss of production and machine breakdown are critical challenges facing modern machining. The main objective of this work is to develop an intelligent multi-sensor process condition monitoring that is able to predict the ...
Predicting the Fatigue Failure of Fiber Reinforced Composite Materials Using Artificial Neural Networks
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 ...