ARMAモデルを用いた振動モード特性の同定法 : 第1報,逐次計算法によるスカラー法

概要

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This paper presents a dynamic identification method which is based on ARMA (Autoregressive/ Moving-Average) model fitting. The method has the advantage that only observed random time history is required for the dynamic characteristics identification without calculating transfer function. The method has the following two procedures. First, in order to estimate ARMA parameters from observed time history, an order-update recursive (LWR) algorithm is introduced. Second, modal parameters are calculated by use of ARMA parameters. As a fundamental example, a five degrees of freedom system is identified with the aid of numerical simulation. From the results, it is shown that estimated modal parameters agree well with the exact value, even without as much data as was required in the former method.
一般社団法人日本機械学会の論文
1987-12-25