基于滑动拟合阶次和统计方法的模态阻尼比辨识技术 |
投稿时间:2016-08-07 修订日期:2016-12-13 点此下载全文 |
引用本文:王亮,蔡毅鹏,祝学军,廖选平,周剑波,南宫自军.基于滑动拟合阶次和统计方法的模态阻尼比辨识技术[J].计算机辅助工程,2017,26(3):51-55. |
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基金项目:国家重点实验室2015年开放课题(MCMS 0115G01);国防技术基础科研项目(JSZL2015203B002) |
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中文摘要: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. |
中文关键词:模态辨识 特征系统实现算法 工作模态 阻尼比 统计分析 |
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Modal damping ratio identification technology based on sliding fitting order method and statistical method |
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Abstract: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. |
keywords:modal identification eigensystem realization algorithm operational mode damping ratio statistical analysis |
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