Robust Sensor Placement to Measurement Noise for Structural Dynamic Systems

Author(s):  
Dong Ho Oh ◽  
Shiao Hua Chen
2007 ◽  
Vol 120 ◽  
pp. 247-254
Author(s):  
Dong Ho Oh ◽  
Shiao Hua Chen

Performance of experimental dynamic system identification depends on sensor placement especially when the number of sensor locations is relatively small and measurement noise is significant. We propose a method to select robust measurements based on the estimation error in modal analysis, which is one of the most popular system identification methods for dynamic systems, by defining a measure of the estimation. The measure is developed to deal with various types of sensors and with general damped systems. It is calculated from the eigenvector information obtained by finite element analysis or preliminary experiments and represents the weighted covariance of estimation error induced by measurement noise as well as the orthogonality of the projection matrix which is the corresponding submatrix of eigenvector-matrix by partially measured outputs. Effectiveness of the proposed measurement selection schemes is demonstrated by computer simulations and experiments.


Author(s):  
R. Chander ◽  
M. Meyyappa ◽  
S. Hanagud

Abstract A frequency domain identification technique applicable to damped distributed structural dynamic systems is presented. The technique is developed for beams whose behavior can be modeled using the Euler-Bernoulli beam theory. External damping of the system is included by means of a linear viscous damping model. Parameters to be identified, mass, stiffness and damping distributions are assumed to be continuous functions over the beam. The response at a discrete number of points along the length of the beam for a given forcing function is used as the data for identification. The identification scheme involves approximating the infinite dimensional response and parameter spaces by using quintic B-splines and cubic cardinal splines, respectively. A Galerkin type weighted residual procedure, in conjunction with the least squares technique, is employed to determine the unknown parameters. Numerically simulated response data for an applied impulse load are utilized to validate the developed technique. Estimated values for the mass, stiffness and damping distributions are discussed.


2000 ◽  
Vol 237 (5) ◽  
pp. 761-773 ◽  
Author(s):  
R. DELTOMBE ◽  
D. MORAUX ◽  
G. PLESSIS ◽  
P. LEVEL

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