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高阶累积量的子空间模态参数辨识方法研究 被引量:1

Subspace Identification Algorithm Research Based on High Order Cumlant
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摘要 基于传统的高阶累积量降阶方法的子空间模态参数辨识方法具有一定的缺陷.提出采用2种降阶方法用于改善高阶累积量的子空间模态参数辨识方法,并对该方法进行了实验验证,证明了方法的可靠性.该方法的计算量较小,能够用于一般结构的模态参数辨识. There are some deficient in traditional subspace algorithm with high order cumlant.Two lower order algorithm for subspace algorithm based on HOS are put forward in this paper.They are verified with simulation modal.The experiment is carried out to test the algorithm.The reliability is proved.The algorithm need small amount of computation and can be used to identify common structure.
机构地区 军械工程学院
出处 《机械与电子》 2012年第1期3-6,共4页 Machinery & Electronics
关键词 高阶累积量 子空间 模态参数辨识 有限元 high order cumlant subspace modal parameter identification limit element
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