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
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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
收藏
页码：1511 / 1517
页数：5
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