Abstract
A Neural Network predictor investigation is presented for analyzing vibration parameters of the rotating system. The vibration parameters of the system such as amplitude, velocity and acceleration in 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, hidden and output layers. In the hidden layer 10 neurons were used for this approximation. The results showed that the network would be used as analyzer of such systems in experimental applications.
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