Optimal Sensor Placement for Structural Health Monitoring of Buildings Using a Kalman Filter-Based Approach

This study proposes a Kalman filter-based method to optimize the placement of accelerometers in buildings, formulated as a multi-objective problem that simultaneously minimizes the number of sensors and the state estimation error. State-space equations of 3-, 9-, 15-, and 30-story buildings were dev...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ricardo Redondo, Gaston Fermandois
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-02-01
Sarja:	Buildings
Aiheet:	structural health monitoring optimal sensor placement Kalman filter multi-objective optimization state estimation measurement noise
Linkit:	https://www.mdpi.com/2075-5309/16/4/824
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