Abstract：Statistical Energy Analysis (SEA) is the most effective tool for the solution of high-frequency dynamical problems of complex structure. However, a reliable solution can be obtained by SEA under the precondition that SEA parameters which constitute the coefficients of the SEA equations are evaluated exactly. A method for identifying the parameters from experimental date is provided in the paper. The methodology begins with identifying a minimum order model of the power flow model utilizing the Eigensystem Realization Algorithm(ERA), then the eigenpairs of the identification model are used to update an initial computation SEA model that has a discrepancy with the true model. The SEA parameters are extracted from updated SEA model ultimately. Simulations are performed on the three subsystem model at different noise-to-ratios, and the result show that the methodology presented in this paper performs quite satisfactorily. Another analogous simulation is performed on a micro-satellite and the result indicates the methodology can be extended to identify the SEA parameters of a complicated model likewise.
孔宪仁;张红亮. 基于ERA的统计能量分析参数确定方法[J]. , 2010, 29(11): 1-5,20.
KONG Xian-ren;ZHANG Hong-liang. Identification of Statistical Energy Analysis Parameters Based on ERA. , 2010, 29(11): 1-5,20.
2010, Vol. 29 
