Parameter Identification of the Structural Nonlinear vibration based on Neural Network Prediction and Wavelet Transform

LI Lu-yu;NIU Yun

Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (18) : 190-197.

PDF(2885 KB)
PDF(2885 KB)
Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (18) : 190-197.
论文

Parameter Identification of the Structural Nonlinear vibration based on Neural Network Prediction and Wavelet Transform

  • LI Lu-yu1, NIU Yun1
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Abstract

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.

Key words

Complex Morlet wavelet transform / BP neural network / Edge-effect / Prediction extension

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LI Lu-yu;NIU Yun. Parameter Identification of the Structural Nonlinear vibration based on Neural Network Prediction and Wavelet Transform[J]. Journal of Vibration and Shock, 2014, 33(18): 190-197
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