A Time-Domain Modal Parameter Identification for CNC Machine Tools Using Singular Spectrum Analysis (SSA)

被引：0

作者：

Alonso, F. J. ^{[1
]}

Salgado, D. R. ^{[2
]}

Cambero, I ^{[1
]}

机构：

[1] Univ Extremadura, Dept Mech Energet & Mat Engn, Avda Elvas S-N, E-06071 Badajoz, Spain

[2] Univ Extremadura, Dept Mech Energet & Mat Engn, Merida 06800, Spain

来源：

THIRD MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE: MESIC-09 | 2009年 / 1181卷

关键词：

System identification; Output-only modal analysis; Singular Spectrum Analysis; Machine tools; SIGNALS; SEPARATION;

D O I：

10.1063/1.3273655

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Modal parameter identification of machine tool axis drives is conventionally achieved by first obtaining frequency response curves from experimental data and then implementing a curve fitting procedure. The principal shortcomings of this procedure are the inherent limitations of the Fourier Transform method, used in obtaining the frequency responses, especially when non-stationary signals appear. As an alternative to the conventional method, a new time-domain modal parameter identification technique based in Singular Spectrum Analysis (SSA) is proposed and applied to CNC machine tool axis drive using output-data only.

引用

页码：385 / +

页数：2

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