Data to decisions: Real-time structural assessment from sparse measurements affected by uncertainty
This paper proposes a data-to-decisions framework—a methodology and a computational strategy—to assist real-time decisions associated with structural monitoring and informed by incomplete, noisy measurements. The data-to-decision structural assessment problem is described in terms of sensor data mea...
Main Authors: | Mainini, Laura, Willcox, Karen E |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2020
|
Online Access: | https://hdl.handle.net/1721.1/125256 |
Similar Items
-
Sensor placement strategy to inform decisions
by: Willcox, Karen E, et al.
Published: (2018) -
Assessing uncertainty in model parameters based on sparse and noisy experimental data
by: Noriko eHiroi, et al.
Published: (2014-04-01) -
Surrogate Modeling for Uncertainty Assessment with Application to Aviation Environmental System Models
by: Allaire, Douglas L., et al.
Published: (2011) -
Robust real-time route inference from sparse vehicle position data
by: Jagadeesh, George Rosario, et al.
Published: (2015) -
A Data-Driven Scheme Based on Sparse Projection Oblique Randomer Forests for Real-Time Dynamic Security Assessment
by: Yanfeng Lin, et al.
Published: (2022-01-01)