stochastic excitation model of strip rolling mill and its spectral analysis

XU Bao-yu;LIU Yi-lun;WANG Xu-dong;WANGYu-qing

Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (7) : 1-3,23.

PDF(1007 KB)
PDF(1007 KB)
Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (7) : 1-3,23.
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stochastic excitation model of strip rolling mill and its spectral analysis

  • XU Bao-yu1,2,LIU Yi-lun1,WANG Xu-dong2,WANGYu-qing2
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Abstract

One of the main difficulties for the stochastic dynamic characteristics of strip mills research is to establish the stochastic excitation model. Based on the stochastic rolling force acquisition data, which is processed into stationary, normal and zero mean from a aluminum hot strip tandem mill, the stochastic excitation power spectral density (PSD) model and ARMA time series model are established. Characteristics of rolling force ARMA time series models are discussed by means of random process theory. The rolling forces PSD function of facilitating engineering application is obtained by utilizing Levenberg-Marquardt combined with generalized global planning algorithm, and the stochastic excitation model is established. So it provides the basis for the prediction of rolling force, identification and parameter estimation of dynamic rigidity, and also has significance for analyzing and researching stochastic dynamics characteristics to the rolling process and the plate and strip rolling mill.

Key words

rolling force / time series model / plate and strip rolling mill / spectral analysis / power spectral density (PSD) / stochastic excitation model

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XU Bao-yu;LIU Yi-lun;WANG Xu-dong;WANGYu-qing. stochastic excitation model of strip rolling mill and its spectral analysis[J]. Journal of Vibration and Shock, 2012, 31(7): 1-3,23
PDF(1007 KB)

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