基于神经网络的旋转机械运行状态预测

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According to artificial neural network model, we build a BP neural network model based on the neuralnetwork toolbox of MATLAB. The vibration severity is input of neural network, to predict the rotary machine operation. Finally, experiment shows that this model is not only effective and feasible for rotary machine operation prediction but also has a good value.根据人工神经网络模型，运用MATLAB的神经网络工具箱建立BP神经网络预测模型，以振动烈度作为神经网络的输入，对旋转机械运行趋势进行预测。实验证明该模型用于旋转机械故障预测的有效性和可行性，具有良好的应用价值。