Robust Sensor Placement under Parametric Uncertainty
R Castro-Triguero (University of Cordoba, Spain), SM Murugan (Swansea University), R Gallego (University of Granada, Spain) & MI Friswell (Swansea University)
Mechanical Systems and Signal Processing, Vol. 41, December 2013, pp. 268-287
This paper examines the influence of parametric uncertainties on the optimal sensor placement methodologies for modal analysis of a truss bridge. Four classical sensor location methodologies are employed: two based on the Fisher information matrix and other two based on energy matrix rank optimization. Young's modulus, mass density and cross sectional dimensions are considered as uncertain parameters. The independent and cumulative effects of these uncertain variables on the sensor placement are studied. The optimal locations of sensors under parametric uncertainty is assessed with three different criteria: Fisher matrix determinant, modal assurance criterion error and singular value decomposition ratio. Furthermore, the robustness of this configuration is investigated for different levels of signal-to-noise ratios. The numerical results show the parametric uncertainties have significant influence on the optimal sensor configuration of a truss bridge.
This material has been published in the Mechanical Systems and Signal Processing, Vol. 41, December 2013, pp. 268-287, the only definitive repository of the content that has been certified and accepted after peer review. Copyright and all rights therein are retained by Elsevier.
Link to paper using doi: 10.1016/j.ymssp.2013.06.022
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