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Robustness of optimal sensor placement under parametric uncertainty
- Publication Year :
- 2013
-
Abstract
- This paper examines the influence of parametric uncertainties on the optimal sensor placement methodologies for the modal analysis of a truss bridge. Four classical sensor location methodologies are employed: two based on the Fisher information matrix and the 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 are assessed with three different criteria: the Fisher matrix determinant, the modal assurance criterion error and the condition number. Furthermore, the robustness of this configuration is investigated for the case of random and bias errors. The numerical results show the parametric uncertainties have significant influence on the optimal sensor configuration of a truss bridge.
- Subjects :
- Mathematical optimization
Engineering
business.industry
Mechanical Engineering
Modal analysis
Aerospace Engineering
Computer Science Applications
symbols.namesake
Truss bridge
Modal
Control and Systems Engineering
Robustness (computer science)
Control theory
Signal Processing
symbols
Fisher information
business
Condition number
Civil and Structural Engineering
Parametric statistics
Energy matrix
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1cc673175ee3682c3cb8bb26d11f044d