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Getting a symmetric residue matrix from the poly-reference least square complex frequency domain technique

机译:从聚参考最小平方复频域技术获取对称残留矩阵

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Using Poly-Reference Least Square Complex Frequency Domain (Poly-LSCF) technique, poles and modal participation vectors are simultaneously identified for increasing model orders, to build a stabilization diagram. For a given model order, mode shapes are identified by minimizing the fitting error. Therefore, modal participation vectors and mode shapes result from two different processes. The residue matrix is the product of the mode shape matrix by the modal participation factor matrix: since modal participation vectors and mode shapes are obtained independently, the residue matrix may be non symmetric. On the contrary, modal analysis theory shows that the residue matrix is symmetric for a self-adjoint system, i.e. a given mode shape and the corresponding modal participation vector are proportional to each other. In this paper, to get a symmetric residue matrix, the curve fitting step (LSCF part of the procedure) is iteratively repeated with updated modal participation vectors that are proportional to the mode shapes at the previous step.
机译:使用聚参考最小方形复频域(​​Poly-LSCF)技术,同时识别POL和模态参与向量以增加模型订单,以构建稳定图。对于给定的模型顺序,通过最小化拟合误差来识别模式形状。因此,模态参与向量和模式形状由两个不同的过程产生。残留矩阵是模式形状矩阵的乘积通过模态参与因子矩阵:由于塑造了模式的参与向量和模式形状,因此残留矩阵可以是非对称的。相反,模态分析理论表明,残留矩阵对自伴系统对称,即给定模式形状和相应的模态参与向量彼此成比例。在本文中,为了获得对称残差矩阵,曲线拟合步骤(程序的LSCF部分)被更新的模态参与向量与前一步骤中的模式形状成比例的更新的模态参与向量重复。

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