Abstract
Some general issues associated with on-line structural health monitoring are discussed. In order to address the problem of determining the existence and location of damage in the presence of uncertainties, a global model-based structural health monitoring method which utilizes Bayesian probabilistic inference is developed. The results of tests using simulated data are described.
Original language | English |
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Pages (from-to) | 1119-1123 |
Number of pages | 5 |
Journal | Proceedings of the American Control Conference |
Volume | 2 |
Publication status | Published - 1999 |
Externally published | Yes |
Event | Proceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA Duration: Jun 2 1999 → Jun 4 1999 |
ASJC Scopus Subject Areas
- Electrical and Electronic Engineering