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Stochastic Subspace Method for Experimental Modal Analysis

机译:实验模态分析的随机子空间方法

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The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model. In this test the gauss white noise generated from a shaker table to simulate the ambient vibration on the model, and the response signals are measured. Next, the response data of experiment are processed by auto-cross spectrum density method and stochastic subspace identification method respectively, the two methods are verified by comparing with the theory result. and bearing out the superiority of stochastic subspace identification method compared to auto-cross spectrum density method.
机译:详细推导了随机子空间识别方法的公式,并编写了程序。两种方法均通过在5层刚性框架模型上的振动测试进行了验证。在此测试中,从振动台产生的高斯白噪声模拟模型上的环境振动,并测量响应信号。其次,分别用自动交叉谱密度法和随机子空间识别法对实验的响应数据进行处理,并与理论结果进行比较,对两种方法进行了验证。与自动交叉谱密度法相比,具有随机子空间识别法的优越性。

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