基于滑动拟合阶次和统计方法的模态阻尼比辨识技术

针对在使用环境激励进行模态辨识时，模态阻尼比辨识结果散布较大的问题，提出基于滑动拟合阶次与统计方法结合的模态阻尼比辨识方法，作为特征系统实现算法（Eigensystem Realization Algorithm，ERA）的前后处理方法，从而提高模态阻尼比的辨识精度和稳定性.详细介绍ERA环境激励模态辨识理论；给出滑动拟合阶次与统计方法相结合的模态阻尼比辨识方法以及流程.通过算例验证该方法的有效性.

Modal damping ratio identification technology based on sliding fitting order method and statistical method

As to the issue that the identification result of damping ratio is unstable while the mode is identified by ambient excitation, a modal identification method is proposed by combining sliding fitting order method and statistical method, which is set as pre processing and post processing technology of Eigensystem Realization Algorithm(ERA). The identification accuracy and stability of modal damping ratio are improved. The theory of modal identification under ambient excitation in ERA is detailed; the modal damping ratio identification method and its process are proposed, which is combining sliding fitting order method and statistical method. At last, an example shows the effectiveness of the method.