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Performance-driven measurement system design for structural identification

James Alexandre Goulet and Ian F. C. Smith

Article (2013)

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Much progress has been achieved in the field of structural identification due to a better understanding of uncertainties, improvement in sensor technologies and cost reductions. However, data interpretation remains a bottleneck. Too often, too much data is acquired, thus hindering interpretation. In this paper, a methodology is described that explicitly indicates when instrumentation can decreases the ability to interpret data. The approach includes uncertainties along with dependencies that may affect model predictions. Two performance indices are used to optimize measurement system designs: monitoring costs and expected identification performance. A case-study shows that the approach is able to justify a reduction in monitoring costs of 50% compared with an initial measurement configuration.

Uncontrolled Keywords

Computer-aided design, Measurement System, Sensor placement, Uncertainties, dependencies, Expected Identifiability, System Identification, Monitoring

Subjects: 1000 Civil engineering > 1000 Civil engineering
Department: Department of Civil, Geological and Mining Engineering
Funders: Swiss National Science Foundation
Grant number: 200020-117670/1
PolyPublie URL: https://publications.polymtl.ca/2888/
Journal Title: Journal of Computing in Civil Engineering (vol. 27, no. 4)
Publisher: ASCE
DOI: 10.1061/(asce)cp.1943-5487.0000250
Official URL: https://doi.org/10.1061/%28asce%29cp.1943-5487.000...
Date Deposited: 15 Jan 2018 15:21
Last Modified: 09 Jun 2023 18:55
Cite in APA 7: Goulet, J. A., & Smith, I. F. C. (2013). Performance-driven measurement system design for structural identification. Journal of Computing in Civil Engineering, 27(4), 427-436. https://doi.org/10.1061/%28asce%29cp.1943-5487.0000250


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