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Due to load uncertainties of cranes, it is necessary to find exact kinematic parameters of crane mechanisms. This research is concerned with application of neural network to the force analysis of a crane mechanism. The type of network investigated is a Recurrent Hybrid Neural Network (RHNN). The crane mechanism is considered as a double-rocker four-bar mechanism. Desired kinematic parameteres of the...
A neural network predictor investigation is presented for analyzing vibration parameters of a rotating system. The vibration parameters of the system, such as amplitude, velocity, and accelertion in the vertical direction, were measured at the bearing points. The system's vibration and noise were analyzed for different working conditions. The designed neural predictor has three layers, which are input,...
In this study, the frictional power loss of the slippers affecting the performance of axial piston pumps and motors was investigated experimentally and theoretically. The working parameters and the slipper geometry causing minimum frictional power loss were determined. The system was also modeled by an artificial neural network. As can be seen in both approaches, the proposed neural network predictor...
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