The dynamic vibration information is gained from acceleration meter, and then by FFT analysis, the frequency information of vibration is used as the training specimen of neural network.
The result of experiment show the trend prediction technology with neural network can reflect practical vibration trend prediction of machine accurately and effectively.
实验结果表明,基于神经网络的预报技术能准确、有效地预报机组的振动趋势。
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In this dissertation, theoretical and numerical simulation studies have been conducted about structure vibration control with MR dampers, wire rope isolators and neural network PID control strategy.