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Output-only identification and dynamic analysis of time-varying mechanical structures under random excitation: A comparative assessment of parametric methods

机译:随机激励下时变机械结构的仅输出识别和动力学分析:参数方法的比较评估

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This article addresses the problem of parametric time-domain identification and dynamic analysis for time-varying (TV) mechanical structures under unobservable random excitation. The methods presented are based on time-dependent autoregressive moving average (TARMA) models, and are classified according to the mathematical structure imposed on the TV parameter evolution as unstructured parameter evolution, stochastic parameter evolution, and deterministic parameter evolution. The features and relative merits of each class are outlined. A representative method from each is then assessed through its application to the identification and dynamic analysis of a laboratory TV structure consisting of a beam with a mass moving on it. The results are mutually compared and contrasted to those obtained through "frozen-configuration" (multiple experiment) baseline identification.
机译:本文解决了在不可观察的随机激励下时变(TV)机械结构的参数时域识别和动态分析问题。提出的方法基于时间相关的自回归移动平均(TARMA)模型,并根据施加在电视参数演变上的数学结构分类为非结构化参数演变,随机参数演变和确定性参数演变。概述了每个类别的功能和相对优点。然后,通过将每种方法中的一种代表性方法应用于实验室电视结构的识别和动态分析,对这种方法进行评估,该结构由一个在其上移动有质量的光束组成。将结果相互比较,并与通过“冻结配置”(多次实验)基准线识别获得的结果进行对比。

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