Stochastic Excitation Model of Strip Rolling Mill

Bao Yu Xu; Yi Lun Liu; Xu Dong Wang; Fang Dong

doi:10.4028/www.scientific.net/AMR.216.378

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 216Stochastic Excitation Model of Strip Rolling Mill

Stochastic Excitation Model of Strip Rolling Mill

Abstract:

The stochastic excitation power spectral density (PSD) model and ARMA time series model are established based on the stochastic rolling force acquisition data, which is processed into stationary, normal and zero mean from a aluminum hot strip tandem mill. 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. It provides the basis for the prediction of rolling force.

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Periodical:

Advanced Materials Research (Volume 216)

Pages:

378-382

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.216.378

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Online since:

March 2011

Authors:

Bao Yu Xu, Yi Lun Liu, Xu Dong Wang, Fang Dong

Keywords:

Power Spectral Density (PSD), Rolling Force, Spectral Analysis, Stochastic Excitation Model, Strip Rolling Mill, Time Series Model

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