Analysis of the sensor placement for optimal temperature distribution reconstruction
| Autor: | Gabriele D'Antona, Nima Seifnaraghi |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Statistics and Probability
Surface (mathematics) Propagation of uncertainty Mathematical optimization Applied Mathematics Computation Resolution optimization Boundary (topology) Function (mathematics) Eigenfunction Inverse problem Condensed Matter Physics Non-homogeneous media Genetic algorithm 3304 Electrical and Electronic Engineering Instrumentation Algorithm Mathematics |
| Zdroj: | Measurement. 56:58-69 |
| ISSN: | 0263-2241 |
| Popis: | The temperature distribution as a function of time and space is reconstructed over a non-homogeneous media having an arbitrary three-dimensional geometry. This is done by applying an inverse problem to the collected data from optimally placed sensors on the boundary surface of the object under study. Sensor positioning and the choice of the number of sensors are optimized in terms of the resolution of the reconstructed temperature field and the error propagation of the method in case of uncertain measurements. The method can be performed in real time since the major computation burden is performed off-line. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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