Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis
A system of interest usually consists of some unknown model parameters that affect its output. System diagnosis estimates these model parameters and track their evolution if the system is time-dependent. Subsequently, the prognosis predicts the system output at future inputs. An important challenge...
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| Format: | Others |
| Language: | en |
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VANDERBILT
2016
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| Online Access: | http://etd.library.vanderbilt.edu/available/etd-09262016-223556/ |