Vibration sensor data compression and its effect on structural system identification

2006 ◽  
Author(s):  
Yunfeng Zhang ◽  
Jian Li
Keyword(s):  
System Identification ◽  
Data Compression ◽  
Vibration Sensor ◽  
Sensor Data ◽  
Structural System ◽  
Structural System Identification

Error analysis of structural system identification by observability method

2017 ◽  
Vol 109 (7) ◽  
pp. 3254-3261
Author(s):  
Jun LEI ◽  
Dong XU ◽  
José Antonio Lozano-Galant ◽  
María Nogal ◽  
José Turmo
Keyword(s):  
System Identification ◽  
Error Analysis ◽  
Structural System ◽  
Structural System Identification

Procedures of Structural System Identification Applied to Automotive Structures

1986 ◽  
Author(s):  
A. A. Butkunas ◽  
J. V. Dorenbaum ◽  
D. L. Flanigan ◽  
M. Riesner ◽  
P. Surulinarayanasami ◽  
...  
Keyword(s):  
System Identification ◽  
Structural System ◽  
Automotive Structures ◽  
Structural System Identification

A numerical approach for structural system identification by observability techniques

2016 ◽  
Author(s):  
Jose Antonio Lozano Galant ◽  
Maria Nogal ◽  
Jun Lei ◽  
Dong Xu ◽  
José Turmo
Keyword(s):  
System Identification ◽  
Numerical Approach ◽  
Mathematical Foundation ◽  
Structural System ◽  
Numerical Errors ◽  
Definition Of ◽  
Structural System Identification ◽  
Symbolic Approach

Observability techniques enable the structural system identification of static structures from a symbolic approach. The main advantage of this method is its deep mathematical foundation that enables the definition of parametric equations for the estimates. Nevertheless, this symbolic approach is not enough for the application of this method on actual structures. To fill this gap, this article presents the introduction into the symbolic structural system identification by observability techniques of a new numerical approach. This application includes the development of an algorithm that reduces the unavoidable numerical errors produced by the lack of precision of computers. The comparison of the observability technique with other existing methods presented in the literature shows that the number of required measurements is significantly lower. Furthermore, contrary to other analysed methods, no information from the undamaged structure is required.

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