首页> 外文会议>7th Biennial Conference on Engineering Systems Design and Analysis 2004(ESDA 2004) vol.1: Advanced Energy Systems; Advanced Heat Transfer in Engineering Systems; ... >COMBINED DETERMINISTIC-STOCHASTIC FREQUENCY-DOMAIN SUBSPACE IDENTIFICATION FOR EXPERIMENTAL AND OPERATIONAL MODAL ANALYSIS
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COMBINED DETERMINISTIC-STOCHASTIC FREQUENCY-DOMAIN SUBSPACE IDENTIFICATION FOR EXPERIMENTAL AND OPERATIONAL MODAL ANALYSIS

机译:确定性-随机频率域子空间组合用于实验和操作模态分析

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摘要

Until recently frequency-domain subspace algorithms were limited to identify deterministic models from input/ouput measurements. In this paper, a combined deterministic-stochastic frequency-domain subspace algorithm is presented to estimate models from input/output spectra, frequency response functions or power spectra for application as experimental and operational modal analysis. The relation with time-domain subspace identification is elaborated. It is shown by both simulations and real-life test examples that the presented method outperforms traditional frequency-domain subspace methods.
机译:直到最近,频域子空间算法还不能从输入/输出测量值中确定确定性模型。本文提出了一种组合的确定性-随机频域子空间算法,可以从输入/输出频谱,频率响应函数或功率频谱估计模型,以用作实验和运行模态分析。详细说明了与时域子空间识别的关系。仿真和实际测试实例均表明,该方法优于传统的频域子空间方法。

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