Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison
Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison
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DOI：
10.1016/j.ymssp.2005.10.003
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发表时间：
2006-05
影响因子：
8.4
通讯作者：
A. Poulimenos;S. Fassois
中科院分区：
文献类型：
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作者：
A. Poulimenos;S. Fassois
本文对基于单振动信号实现的非平稳随机振动建模和分析的参数时域方法进行了严格的调查和比较。所考虑的方法是基于时间相关的自回归移动平均（塔尔马）表示，并可分为非结构化参数演化，随机参数演化，和确定性参数演化。介绍了每类中的主要方法，并讨论了模型“结构”的选择。的方法进行比较，通过蒙特卡罗研究，在可实现的模型简约性，预测精度，功率谱密度和模态参数的准确性和跟踪，计算简单，易用性。与基本的非参数方法的比较。研究结果证实了参数化方法的优势和高性能特点。他们还证实了增加的准确性和性能特性的确定性，以及随机，参数演化方法的非结构化参数演化对应。
A critical survey and comparison of parametric time-domain methods for non-stationary random vibration modelling and analysis based upon a single vibration signal realization is presented. The considered methods are based upon time-dependent autoregressive moving average (TARMA) representations, and may be classified as unstructured parameter evolution, stochastic parameter evolution, and deterministic parameter evolution. The main methods within each class are presented, and model “structure” selection is discussed. The methods are compared, via a Monte Carlo study, in terms of achievable model parsimony, prediction accuracy, power spectral density and modal parameter accuracy and tracking, computational simplicity, and ease of use. Comparisons with basic non-parametric methods are also made. The results of the study confirm the advantages and high performance characteristics of parametric methods. They also confirm the increased accuracy and performance characteristics of the deterministic, as well as stochastic, parameter evolution methods over those of their unstructured parameter evolution counterparts.