The Application of Machine Learning to Structural Health Monitoring
In broad terms, there are two approaches to damage identification. Model-driven methods establish a high-fidelity physical model of the structure, usually by finite element analysis, and then establish a comparison metric between the model and the measured data from the real structure. If the model...
| Veröffentlicht in: | Philosophical Transactions: Mathematical, Physical and Engineering Sciences. - The Royal Society. - 365(2007), 1851, Seite 515-537 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2007
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| Zugriff auf das übergeordnete Werk: | Philosophical Transactions: Mathematical, Physical and Engineering Sciences |
| Schlagworte: | Structural health monitoring Machine learning Pattern recognition Neural networks Statistical learning theory Support vector machines Applied sciences Physical sciences Mathematics Behavioral sciences |
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