Autonomous modal parameter estimation based on a statistical frequency domain maximum likelihood approach

被引：0

作者：

Verboven, P ^{[1
]}

Parloo, E ^{[1
]}

Guillaume, P ^{[1
]}

Van Overmeire, M ^{[1
]}

机构：

[1] Free Univ Brussels, Dept Mech Engn WERK, B-1050 Brussels, Belgium

来源：

PROCEEDINGS OF IMAC-XIX: A CONFERENCE ON STRUCTURAL DYNAMICS, VOLS 1 AND 2 | 2001年 / 4359卷

关键词：

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This contribution, presents an autonomous modal parameter estimation procedure based on a statistical frequency-domain maximum likelihood approach. Using improved frequency-domain identification schemes, features such as high accuracy and confidence bounds for the estimated parameters and robustness for different types of test-data make an automation of the modal estimation process possible. Based on a statistical approach, adaptive pole selection criteria are developed. The new approach is illustrated for 2 experimental cases.

引用

页码：1511 / 1517

页数：5

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