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IDENTIFICATION OF TRUE STATE-VARIABLE DECOMPOSITION MODES FROM MODAL COORDINATE DATA

机译:从模态坐标数据中识别真实的状态变量分解模式

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The recently developed state-variable modal decomposition method provides a quick and efficient way to estimate modal parameters from data for a multi-degree-of-freedom vibratory system without having the need to measure inputs. Associated with the decomposition method are the state-variable modal coordinates (SVMC), which can be used to determine the quality of decomposition. In present work, a systematic way is established to distinguish a true mode from a spurious one from features of the modal coordinates. In an approach similar, in principle, to the modal assurance criterion (MAC) for assessing mode shapes, a value is directly obtained by comparing the fast Fourier transform (FFT) of the impulse response of the modal coordinate, to the sampled ideal frequency response generated by the modal parameters obtained from the decomposition. Also, the norm of the difference between the FFT magnitude of the SVMC impulse response and the sampled identified ideal frequency response is used to distinguish the true modes. Various case studies using combinations of frequency and damping values are obtained in numerically simulated results. Actual modes are also distinguished from the spurious modes using test data from a uniform thin beam.
机译:最近开发的状态变量模态分解方法提供了一种快速有效的方法,可以从多自由度振动系统的数据中估算模态参数,而无需测量输入。与分解方法相关的是状态变量模态坐标(SVMC),可用于确定分解的质量。在当前的工作中,建立了一种系统的方式来从模态坐标的特征中区分出真实模式和伪模式。在原理上类似于用于评估模态形状的模态保证标准(MAC)的方法中,通过将模态坐标的脉冲响应的快速傅里叶变换(FFT)与采样的理想频率响应进行比较,可以直接获得一个值。由分解得到的模态参数生成。同样,SVMC脉冲响应的FFT幅度与采样的识别出的理想频率响应之间的差异范数也用于区分真实模式。在数值模拟结果中获得了使用频率和阻尼值组合的各种案例研究。使用来自均匀细光束的测试数据,还可以将实际模式与杂散模式区分开。

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