In this paper, the principle of parameter identification of structure nonlinear vibration model based on the complex Morlet wavelet transform was introduced firstly. The influence of complex Morlet wavelet transform on the identification accuracy of nonlinear model parameters was analyzed under the different cases of edge-effect of wavelet transform and less sampling points. Then a BP neural network was used for the prediction extension of nonlinear vibration signals and a novel parameter identification method was proposed based on the prediction results. Finally, through the numerical simulation of two nonlinear vibration models, the method was proved to be effective in the anti-noise property and identification of nonlinear model parameters.
李芦钰;牛 芸. 基于神经网络预测与小波变换的结构非线性振动参数识别[J]. , 2014, 33(18): 190-197.
LI Lu-yu;NIU Yun. Parameter Identification of the Structural Nonlinear vibration based on Neural Network Prediction and Wavelet Transform. , 2014, 33(18): 190-197.