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Application of Black-Box NIXO to Experimental Measurements
被引:1
|作者:
Kwarta, Michael
[1
]
Allen, Matthew S.
[2
]
机构:
[1] Univ Wisconsin Madison, Dept Mech Engn, Madison, WI USA
[2] Brigham Young Univ, Dept Mech Engn, Provo, UT USA
来源:
关键词:
Nonlinear system identification;
Nonlinear parameter estimation;
Black-box methods;
Nonlinear normal modes;
NIXO methods;
D O I:
10.1007/978-3-031-04086-3_33
中图分类号:
TH [机械、仪表工业];
学科分类号:
0802 ;
摘要:
Nonlinear identification methods seek to create a mathematical representation of a mechanical system, which can then be used to: (1) predict the structure's motion or (2) design, redesign or optimize the structure. In a prior work the Nonlinear Identification through eXtended Outputs (NIXO) algorithm was found to work well if the model form is known a priori. Moreover, the black-box NIXO-based algorithm was successful for the data generated numerically. However, when it comes to actual experimental measurements, the black-box identification procedure has proven more challenging. This work builds on the previous efforts seeking to create a black-box NIXO and to demonstrate it on experimental measurements. The identification attempt is performed on a 3D-printed flat beam, and the results are validated against experimental measurements collected during sweep sine vibration testing.
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页码:237 / 240
页数:4
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