Identification of modal parameters based on wavelet transform and back propagation network

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Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (3) : 55-59.

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Identification of modal parameters based on wavelet transform and back propagation network

DAI Yu； ZHANG Jian-xun

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Abstract

In order to reduce the influence of edge-effect of continuous wavelet transform on the
identification of modal parameters, artificial neural network is introduced to extend free decay response
signal in both directions. A multiple-input and single-output back propagation network is devised to predict
the signal at the next time step using a finite number of current samples. The training samples are obtained
by simple combination of the original signal. Both numerical and experimental studies are performed to
demonstrate the proposed procedure and verify its practicability. The experimental system is a force sensor
developed for minimally invasive surgery robot. The results show the method works very well in
identifying damping ratios and undamped natural frequencies from short signal.

Key words

modal parameter identification / wavelet transform / back propagation network / edge-effect

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DAI Yu;ZHANG Jian-xun. Identification of modal parameters based on wavelet transform and back propagation network[J]. Journal of Vibration and Shock, 2012, 31(3): 55-59