In this work, the influence of measurement and model errors in optimal sensor placement is investigated. The sensor placement procedure is based on the Information Entropy theory and the solution of the optimization problem is obtained maximizing the determinant of the so called Fisher Information Matrix (FIM). Results of placement process considerably depend on the so called covariance matrix of prediction error as well as on the definition of the correlation function. The paper thus investigates the role of the covariance matrix and the correlation function in optimal sensor placement. Different proposals on their definition are compared. A constant and an exponential correlation function depending on the distance between sensors are firstly assumed; then a new proposal depending from both the distance and modal vectors is presented. The method is finally applied to a benchmark case study and the effect of model and measurement error on results is described.

Influence of measurement and model errors in optimal sensor placement for SHM purposes / Simonini, Laura; Vincenzi, Loris. - CD-ROM. - (2015), pp. 766-775. (Intervento presentato al convegno 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure tenutosi a Torino nel 1-3 July 2015).

Influence of measurement and model errors in optimal sensor placement for SHM purposes

SIMONINI, LAURA;VINCENZI, Loris
2015

Abstract

In this work, the influence of measurement and model errors in optimal sensor placement is investigated. The sensor placement procedure is based on the Information Entropy theory and the solution of the optimization problem is obtained maximizing the determinant of the so called Fisher Information Matrix (FIM). Results of placement process considerably depend on the so called covariance matrix of prediction error as well as on the definition of the correlation function. The paper thus investigates the role of the covariance matrix and the correlation function in optimal sensor placement. Different proposals on their definition are compared. A constant and an exponential correlation function depending on the distance between sensors are firstly assumed; then a new proposal depending from both the distance and modal vectors is presented. The method is finally applied to a benchmark case study and the effect of model and measurement error on results is described.
2015
7th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Torino
1-3 July 2015
766
775
Simonini, Laura; Vincenzi, Loris
Influence of measurement and model errors in optimal sensor placement for SHM purposes / Simonini, Laura; Vincenzi, Loris. - CD-ROM. - (2015), pp. 766-775. (Intervento presentato al convegno 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure tenutosi a Torino nel 1-3 July 2015).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1073762
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