Sensor placement optimal for the precision of modal parameter estimation with subspace methods

Szymon Gres*, Michael Döhler, Vasilis Dertimanis, Eleni Chatzi

*Corresponding author for this work

Research output: Contribution to conferencePaperResearchpeer-review

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Abstract

In this paper we focus on sensor placement for output-only modal analysis, where the objective is to choose those sensor locations yielding a minimal variance in the identification of modal parameters from measurement data. It is heuristically shown that the variance of modal parameters estimated with data-driven subspace identification can be approximated solely based on the process and the measurement noise properties with the Kalman filter and the underlying system model, and is independent of data which are not available at the experimental design stage. The performance of the proposed approach is illustrated on an extensive Monte Carlo simulation for an illustrative example of a mechanical chain system.
Original languageEnglish
Publication dateJul 2023
Publication statusPublished - Jul 2023
Externally publishedYes
Event12th International Conference on
Structural Dynamics.
- Delft, Netherlands
Duration: 2 Jul 20235 Jul 2023

Conference

Conference12th International Conference on
Structural Dynamics.
Country/TerritoryNetherlands
CityDelft
Period02/07/202305/07/2023

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