Research on the Operational Modal Prediction of Dry Gas Seal System Based on Response Surface Method

Author:

Liu Yun,Liu Quanxing,Yin Guofu,Luo Xiaofeng

Abstract

Abstract The cross power spectrum function is used to realize the operational modal analysis and identification of the dry gas seal device system through the multi-reference point least squares complex frequency domain method. The steady state diagram and mathematical indicators MAC, MPD, MPC, MOV and MIF are used to verify the modal results. At the same time, based on the response surface method, with two different operating conditions of medium pressure and rotating speed, modal direction and modal order as the response surface variables, a time-varying modal recognition model is established. Through the Full Factorial experiment design, Box-Behnken experiment design and Central Composite experiment design, the suitable variable sample points are formed. A complete quadratic polynomial response surface model of the system operational modal parameters is established. The complex correlation coefficient, the modified complex correlation coefficient and the root mean square error are used to verify the effectiveness of the response surface model. It provides new method and technical support for realizing time-varying modal identification in this paper.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference15 articles.

1. System identification methods for (operational) modal analysis: review and comparison;Reynders;Archives of Computational Methods in Engineering,2012

2. The inception of OMA in the development of modal testing technology for wind turbines;Carne;Mechanical Systems and Signal Processing,2010

3. Experimental analysis of operational modal analysis of self-propelled artillery;Wang;Acta Armamentarius,2009

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