This work attempts a comprehensive processing of response signals acquired from an experimental campaign on a local historical bridge using four different types of sensory systems. A general analysis setup is developed, allowing for consistent modal dynamic identification via individual signal processing as well as via data fusion through dedicated Multi-Rate Kalman filtering approach. The investigation reveals the potential and limitations in terms of utilization of novel instrumentation systems to be adopted for Structural Health Monitoring (SHM) purposes.
(2015). Heterogeneous sensor fusion for reducing uncertainty in Structural Health Monitoring [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/58095
Heterogeneous sensor fusion for reducing uncertainty in Structural Health Monitoring
Ferrari, Rosalba;Pioldi, Fabio;Rizzi, Egidio;
2015-01-01
Abstract
This work attempts a comprehensive processing of response signals acquired from an experimental campaign on a local historical bridge using four different types of sensory systems. A general analysis setup is developed, allowing for consistent modal dynamic identification via individual signal processing as well as via data fusion through dedicated Multi-Rate Kalman filtering approach. The investigation reveals the potential and limitations in terms of utilization of novel instrumentation systems to be adopted for Structural Health Monitoring (SHM) purposes.| File | Dimensione del file | Formato | |
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Ferrari_Pioldi_Rizzi_Gentile_Chatzi_Klis_Serantoni_Wieser-UNCECOMP2015.pdf
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